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ORCID30th AAAI 2016: Phoenix, Arizona, USA
- Dale Schuurmans, Michael P. Wellman:
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA. AAAI Press 2016, ISBN 978-1-57735-760-5 - Mohammad Raihanul Islam, K. S. M. Tozammel Hossain, Siddharth Krishnan, Naren Ramakrishnan:
Inferring Multi-Dimensional Ideal Points for US Supreme Court Justices. 4-12 - Meng Jiang, Peng Cui, Nicholas Jing Yuan, Xing Xie, Shiqiang Yang:
Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds. 13-19 - Ronghua Liang, Xiaorui Jiang
:
Scientific Ranking over Heterogeneous Academic Hypernetwork. 20-26 - Zeming Lin, Jack Lanchantin, Yanjun Qi:
MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction. 27-34 - Eric Lofgren, Anil Vullikanti:
Hospital Stockpiling Problems with Inventory Sharing. 35-41 - Yuan Luo, Yu Xin, Rohit Joshi, Leo A. Celi, Peter Szolovits:
Predicting ICU Mortality Risk by Grouping Temporal Trends from a Multivariate Panel of Physiologic Measurements. 42-50 - Yuting Qiang, Yanwei Fu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal:
Learning to Generate Posters of Scientific Papers. 51-57 - Shuyang Wang, Yun Fu:
Face Behind Makeup. 58-64 - Yang Yang, Jia Jia, Boya Wu, Jie Tang:
Social Role-Aware Emotion Contagion in Image Social Networks. 65-71 - Jianfei Zhang, Lifei Chen, Alain Vanasse, Josiane Courteau, Shengrui Wang:
Survival Prediction by an Integrated Learning Criterion on Intermittently Varying Healthcare Data. 72-78 - Chuan Zhou, Weixue Lu, Peng Zhang, Jia Wu, Yue Hu, Li Guo:
On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks. 79-86
Technical Papers: AI and the Web
- Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua:
From Tweets to Wellness: Wellness Event Detection from Twitter Streams. 87-93 - Prakhar Biyani, Kostas Tsioutsiouliklis, John Blackmer:
"8 Amazing Secrets for Getting More Clicks": Detecting Clickbaits in News Streams Using Article Informality. 94-100 - Bor-Chun Chen, Yan-Ying Chen, Francine Chen, Dhiraj Joshi:
Business-Aware Visual Concept Discovery from Social Media for Multimodal Business Venue Recognition. 101-107 - Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Deren Chen:
Capturing Semantic Correlation for Item Recommendation in Tagging Systems. 108-114 - Zhi-Hong Deng, Hongliang Yu, Yunlun Yang:
Identifying Sentiment Words Using an Optimization Model with L1 Regularization. 115-121 - Hanyin Fang, Fei Wu, Zhou Zhao, Xinyu Duan, Yueting Zhuang, Martin Ester:
Community-Based Question Answering via Heterogeneous Social Network Learning. 122-128 - Hancheng Ge, James Caverlee:
College Towns, Vacation Spots, and Tech Hubs: Using Geo-Social Media to Model and Compare Locations. 129-136 - Jing He, Xin Li, Lejian Liao, Dandan Song, William K. Cheung:
Inferring a Personalized Next Point-of-Interest Recommendation Model with Latent Behavior Patterns. 137-143 - Ruining He, Julian J. McAuley:
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback. 144-150 - Wei He, Zhongjun He, Hua Wu, Haifeng Wang:
Improved Neural Machine Translation with SMT Features. 151-157 - Athirai Aravazhi Irissappane, Frans A. Oliehoek, Jie Zhang:
A Scalable Framework to Choose Sellers in E-Marketplaces Using POMDPs. 158-164 - Yongpo Jia, Xuemeng Song, Jingbo Zhou, Li Liu, Liqiang Nie, David S. Rosenblum:
Fusing Social Networks with Deep Learning for Volunteerism Tendency Prediction. 165-171 - Di Jin, Hongcui Wang, Jianwu Dang, Dongxiao He, Weixiong Zhang:
Detect Overlapping Communities via Ranking Node Popularities. 172-178 - Zhao Kang, Chong Peng, Qiang Cheng:
Top-N Recommender System via Matrix Completion. 179-185 - Virgile Landeiro, Aron Culotta:
Robust Text Classification in the Presence of Confounding Bias. 186-193 - Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts. 194-200 - Ye Liu, Luming Zhang, Liqiang Nie, Yan Yan, David S. Rosenblum:
Fortune Teller: Predicting Your Career Path. 201-207 - Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu:
Predicting Online Protest Participation of Social Media Users. 208-214 - Yafeng Ren, Yue Zhang, Meishan Zhang, Donghong Ji:
Context-Sensitive Twitter Sentiment Classification Using Neural Network. 215-221 - Mehdi Samadi, Partha Pratim Talukdar, Manuela M. Veloso, Manuel Blum:
ClaimEval: Integrated and Flexible Framework for Claim Evaluation Using Credibility of Sources. 222-228 - Suvash Sedhain, Aditya Krishna Menon, Scott Sanner, Darius Braziunas:
On the Effectiveness of Linear Models for One-Class Collaborative Filtering. 229-235 - SungRyull Sohn, Hyunwoo Kim, Junmo Kim:
Supervised Hashing via Uncorrelated Component Analysis. 236-242 - Niket Tandon, Charles Hariman, Jacopo Urbani, Anna Rohrbach, Marcus Rohrbach, Gerhard Weikum:
Commonsense in Parts: Mining Part-Whole Relations from the Web and Image Tags. 243-250 - Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu:
Recommendation with Social Dimensions. 251-257 - Jacopo Urbani, Ceriel J. H. Jacobs, Markus Krötzsch:
Column-Oriented Datalog Materialization for Large Knowledge Graphs. 258-264 - Xiao Wang, Di Jin, Xiaochun Cao, Liang Yang, Weixiong Zhang:
Semantic Community Identification in Large Attribute Networks. 265-271 - Bo Wu, Tao Mei, Wen-Huang Cheng, Yongdong Zhang:
Unfolding Temporal Dynamics: Predicting Social Media Popularity Using Multi-scale Temporal Decomposition. 272-278 - Le Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang:
Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective. 279-286 - Tianxing Wu, Guilin Qi, Haofen Wang, Kang Xu, Xuan Cui:
Cross-Lingual Taxonomy Alignment with Bilingual Biterm Topic Model. 287-293 - Liang Xie, Jialie Shen, Lei Zhu:
Online Cross-Modal Hashing for Web Image Retrieval. 294-300 - Jinyoung Yeo, Jin-Woo Park, Seung-won Hwang:
Understanding Emerging Spatial Entities. 301-307 - Quanzeng You, Jiebo Luo, Hailin Jin, Jianchao Yang:
Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark. 308-314 - Shenglin Zhao, Tong Zhao, Haiqin Yang, Michael R. Lyu, Irwin King:
STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation. 315-322
Technical Papers: Cognitive Modeling and Cognitive Systems
- Owain Evans, Andreas Stuhlmüller, Noah D. Goodman:
Learning the Preferences of Ignorant, Inconsistent Agents. 323-329 - Taiki Miyanishi, Junichiro Hirayama, Quan Kong, Takuya Maekawa, Hiroki Moriya, Takayuki Suyama:
Egocentric Video Search via Physical Interactions. 330-337
Technical Papers: Computational Sustainability and AI
- Quanjun Chen, Xuan Song, Harutoshi Yamada, Ryosuke Shibasaki:
Learning Deep Representation from Big and Heterogeneous Data for Traffic Accident Inference. 338-344 - Daniel Urieli, Peter Stone:
Autonomous Electricity Trading Using Time-of-Use Tariffs in a Competitive Market. 345-352
Technical Papers: Game Playing and Interactive Entertainment
- Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen:
Reuse of Neural Modules for General Video Game Playing. 353-359 - Nikolai Yakovenko, Liangliang Cao, Colin Raffel, James Fan:
Poker-CNN: A Pattern Learning Strategy for Making Draws and Bets in Poker Games Using Convolutional Networks. 360-368
Technical Papers: Game Theory and Economic Paradigms
- Markus Brill, Rupert Freeman, Vincent Conitzer:
Computing Possible and Necessary Equilibrium Actions (and Bipartisan Set Winners). 369-375 - AmirMahdi Ahmadinejad, Sina Dehghani, MohammadTaghi Hajiaghayi, Brendan Lucier, Hamid Mahini, Saeed Seddighin:
From Duels to Battlefields: Computing Equilibria of Blotto and Other Games. 376-382 - Michael Albert, Vincent Conitzer, Giuseppe Lopomo:
Maximizing Revenue with Limited Correlation: The Cost of Ex-Post Incentive Compatibility. 383-389 - Elliot Anshelevich, Shreyas Sekar:
Blind, Greedy, and Random: Algorithms for Matching and Clustering Using Only Ordinal Information. 390-396 - Haris Aziz, Omer Lev, Nicholas Mattei, Jeffrey S. Rosenschein, Toby Walsh:
Strategyproof Peer Selection: Mechanisms, Analyses, and Experiments. 397-403 - Nicola Basilico, Giuseppe De Nittis, Nicola Gatti:
A Security Game Combining Patrolling and Alarm-Triggered Responses Under Spatial and Detection Uncertainties. 404-410 - Xiaohui Bei, Wei Chen, Jugal Garg, Martin Hoefer, Xiaoming Sun:
Learning Market Parameters Using Aggregate Demand Queries. 411-417 - Simina Brânzei, Ioannis Caragiannis, David Kurokawa, Ariel D. Procaccia:
An Algorithmic Framework for Strategic Fair Division. 418-424 - Matthew Brown, Arunesh Sinha, Aaron Schlenker, Milind Tambe:
One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats. 425-431 - Noam Brown, Tuomas Sandholm:
Strategy-Based Warm Starting for Regret Minimization in Games. 432-438 - Jiri Cermak, Branislav Bosanský, Karel Durkota, Viliam Lisý, Christopher Kiekintveld:
Using Correlated Strategies for Computing Stackelberg Equilibria in Extensive-Form Games. 439-445 - Pak Hay Chan, Xin Huang, Zhengyang Liu, Chihao Zhang, Shengyu Zhang:
Assignment and Pricing in Roommate Market. 446-452 - Ning Chen, Xiaotie Deng, Bo Tang, Hongyang Zhang:
Incentives for Strategic Behavior in Fisher Market Games. 453-459 - Vincent Conitzer, Rupert Freeman, Markus Brill, Yuqian Li:
Rules for Choosing Societal Tradeoffs. 460-467 - Marco Costantini, Carla Groenland, Ulle Endriss:
Judgment Aggregation under Issue Dependencies. 468-474 - Edith Elkind, Angelo Fanelli, Michele Flammini:
Price of Pareto Optimality in Hedonic Games. 475-481 - Piotr Faliszewski, Piotr Skowron, Arkadii M. Slinko, Nimrod Talmon:
Multiwinner Analogues of the Plurality Rule: Axiomatic and Algorithmic Perspectives. 482-488 - Gabriele Farina, Nicola Gatti:
Ad Auctions and Cascade Model: GSP Inefficiency and Algorithms. 489-495 - Michal Feldman, Amos Fiat, Svetlana Obraztsova:
Variations on the Hotelling-Downs Model. 496-501 - Rafael M. Frongillo, Jens Witkowski:
A Geometric Method to Construct Minimal Peer Prediction Mechanisms. 502-508 - Nicola Gatti, Marcello Restelli:
Sequence-Form and Evolutionary Dynamics: Realization Equivalence to Agent Form and Logit Dynamics. 509-515 - Michael P. Kim, Warut Suksompong, Virginia Vassilevska Williams:
Who Can Win a Single-Elimination Tournament? 516-522 - David Kurokawa, Ariel D. Procaccia, Junxing Wang:
When Can the Maximin Share Guarantee Be Guaranteed? 523-529 - Jérôme Lang, Piotr Krzysztof Skowron:
Multi-Attribute Proportional Representation. 530-536 - Aron Laszka, Jian Lou, Yevgeniy Vorobeychik:
Multi-Defender Strategic Filtering Against Spear-Phishing Attacks. 537-543 - Viliam Lisý, Trevor Davis, Michael H. Bowling:
Counterfactual Regret Minimization in Sequential Security Games. 544-550 - Yicheng Liu, Pingzhong Tang, Tingting Xu, Hang Zheng:
Optimizing Trading Assignments in Water Right Markets. 551-557 - Thomas Lukasiewicz, Enrico Malizia:
On the Complexity of mCP-nets. 558-564 - Vijay Menon, Kate Larson:
Reinstating Combinatorial Protections for Manipulation and Bribery in Single-Peaked and Nearly Single-Peaked Electorates. 565-571 - Matej Moravcik, Martin Schmid, Karel Ha, Milan Hladík, Stephen J. Gaukrodger:
Refining Subgames in Large Imperfect Information Games. 572-578 - Dominik Peters:
Complexity of Hedonic Games with Dichotomous Preferences. 579-585 - Dominik Peters:
Graphical Hedonic Games of Bounded Treewidth. 586-593 - Dominik Peters, Edith Elkind:
Preferences Single-Peaked on Nice Trees. 594-600 - Benjamin Plaut, John P. Dickerson, Tuomas Sandholm:
Fast Optimal Clearing of Capped-Chain Barter Exchanges. 601-607 - Ariel D. Procaccia, Nisarg Shah:
Optimal Aggregation of Uncertain Preferences. 608-614 - Akihisa Sonoda, Taiki Todo, Makoto Yokoo:
False-Name-Proof Locations of Two Facilities: Economic and Algorithmic Approaches. 615-621 - Mateusz Krzysztof Tarkowski, Piotr L. Szczepanski, Talal Rahwan, Tomasz P. Michalak, Michael J. Wooldridge:
Closeness Centrality for Networks with Overlapping Community Structure. 622-629 - Paolo Turrini:
Computing Rational Decisions In Extensive Games With Limited Foresight. 630-636 - Zhen Wang, Yue Yin, Bo An:
Computing Optimal Monitoring Strategy for Detecting Terrorist Plots. 637-643 - Lirong Xia:
Quantitative Extensions of the Condorcet Jury Theorem with Strategic Agents. 644-650 - Jian Xu, Xuhui Shao, Jianjie Ma, Kuang-chih Lee, Hang Qi, Quan Lu:
Lift-Based Bidding in Ad Selection. 651-657 - Mengchen Zhao, Bo An, Christopher Kiekintveld:
Optimizing Personalized Email Filtering Thresholds to Mitigate Sequential Spear Phishing Attacks. 658-665
Technical Papers: Heuristic Search and Optimization
- Hiromasa Arai, Crystal Maung, Ke Xu, Haim Schweitzer:
Unsupervised Feature Selection by Heuristic Search with Provable Bounds on Suboptimality. 666-672 - Masataro Asai, Alex S. Fukunaga:
Tiebreaking Strategies for A* Search: How to Explore the Final Frontier. 673-679 - Joydeep Banerjee, Gurulingesh Raravi, Manoj Gupta, Sindhu Kiranmai Ernala, Shruti Kunde, Koustuv Dasgupta:
CAPReS: Context Aware Persona Based Recommendation for Shoppers. 680-686 - Tristan Cazenave, Abdallah Saffidine, Michael John Schofield, Michael Thielscher:
Nested Monte Carlo Search for Two-Player Games. 687-693 - Rina Dechter, Kalev Kask, William Lam, Javier Larrosa:
Look-Ahead with Mini-Bucket Heuristics for MPE. 694-701 - Alexandre Fréchette, Neil Newman, Kevin Leyton-Brown:
Solving the Station Repacking Problem. 702-709 - Robert Ganian, Sebastian Ordyniak:
The Complexity Landscape of Decompositional Parameters for ILP. 710-716 - Yuu Jinnai, Alex Fukunaga:
Abstract Zobrist Hashing: An Efficient Work Distribution Method for Parallel Best-First Search. 717-723 - Elias Boutros Khalil, Pierre Le Bodic, Le Song, George L. Nemhauser, Bistra Dilkina:
Learning to Branch in Mixed Integer Programming. 724-731 - Sixue Liu, Periklis A. Papakonstantinou:
Local Search for Hard SAT Formulas: The Strength of the Polynomial Law. 732-738 - Canyi Lu, Huan Li, Zhouchen Lin, Shuicheng Yan:
Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting. 739-745 - Steve Rabin, Nathan R. Sturtevant:
Combining Bounding Boxes and JPS to Prune Grid Pathfinding. 746-752 - Changkyu Song, Sejong Yoon, Vladimir Pavlovic:
Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty. 753-759 - Marcel Steinmetz, Jörg Hoffmann:
Towards Clause-Learning State Space Search: Learning to Recognize Dead-Ends. 760-768 - Roni Stern, Meir Kalech, Hilla Shinitzky:
Implementing Troubleshooting with Batch Repair. 769-775 - Satya Gautam Vadlamudi, Subbarao Kambhampati:
A Combinatorial Search Perspective on Diverse Solution Generation. 776-783 - Richard Anthony Valenzano, Fan Xie:
On the Completeness of Best-First Search Variants That Use Random Exploration. 784-790 - Biao Wang, Ge Chen, Luoyi Fu, Li Song, Xinbing Wang, Xue Liu:
DRIMUX: Dynamic Rumor Influence Minimization with User Experience in Social Networks. 791-797 - Yiyang Wang, Risheng Liu, Xiaoliang Song, Zhixun Su:
Linearized Alternating Direction Method with Penalization for Nonconvex and Nonsmooth Optimization. 798-804 - Yiyuan Wang, Shaowei Cai, Minghao Yin:
Two Efficient Local Search Algorithms for Maximum Weight Clique Problem. 805-811 - Chen Xu, Zhouchen Lin, Zhenyu Zhao, Hongbin Zha:
Relaxed Majorization-Minimization for Non-Smooth and Non-Convex Optimization. 812-818 - Haifeng Zhang, Yevgeniy Vorobeychik:
Submodular Optimization with Routing Constraints. 819-826
Technical Papers: Human-Computation and Crowd Sourcing
- Liyiming Ke, Bo Li, Yevgeniy Vorobeychik:
Behavioral Experiments in Email Filter Evasion. 827-834
Technical Papers: Humans and AI
- David Cohen, Ian R. Lane:
An Oral Exam for Measuring a Dialog System's Capabilities. 835-841 - Priel Levy, David Sarne:
Intelligent Advice Provisioning for Repeated Interaction. 842-849 - Makoto Otsuka, Takayuki Osogami:
A Deep Choice Model. 850-856 - Avraham Shvartzon, Amos Azaria, Sarit Kraus, Claudia V. Goldman, Joachim Meyer, Omer Tsimhoni:
Personalized Alert Agent for Optimal User Performance. 857-864
Technical Papers: Knowledge Representation and Reasoning
- Basma Alharbi, Abdulhakim Ali Qahtan, Xiangliang Zhang:
Minimizing User Involvement for Learning Human Mobility Patterns from Location Traces. 865-871 - Thomas E. Allen, Judy Goldsmith, Hayden Elizabeth Justice, Nicholas Mattei, Kayla Raines:
Generating CP-Nets Uniformly at Random. 872-878 - Mario Alviano, Wolfgang Faber, Hannes Strass:
Boolean Functions with Ordered Domains in Answer Set Programming. 879-885 - Francesco Belardinelli, Wiebe van der Hoek:
A Semantical Analysis of Second-Order Propositional Modal Logic. 886-892 - Vaishak Belle, Gerhard Lakemeyer, Hector J. Levesque:
A First-Order Logic of Probability and Only Knowing in Unbounded Domains. 893-899 - Meghyn Bienvenu, Camille Bourgaux, François Goasdoué:
Explaining Inconsistency-Tolerant Query Answering over Description Logic Knowledge Bases. 900-906 - Benjamin Bittner, Marco Bozzano, Alessandro Cimatti, Gianni Zampedri:
Automated Verification and Tightening of Failure Propagation Models. 907-913 - Elise Bonzon, Jérôme Delobelle, Sébastien Konieczny, Nicolas Maudet:
A Comparative Study of Ranking-Based Semantics for Abstract Argumentation. 914-920 - Elena Botoeva, Diego Calvanese, Valerio Santarelli, Domenico Fabio Savo, Alessandro Solimando, Guohui Xiao:
Beyond OWL 2 QL in OBDA: Rewritings and Approximations. 921-928 - Simone Bova:
SDDs Are Exponentially More Succinct than OBDDs. 929-935 - Melisachew Wudage Chekol:
On the Containment of SPARQL Queries under Entailment Regimes. 936-942 - Bernardo Cuenca Grau, Egor V. Kostylev:
Logical Foundations of Privacy-Preserving Publishing of Linked Data. 943-949 - Giuseppe De Giacomo, Yves Lespérance, Fabio Patrizi, Sebastian Sardiña:
Verifying ConGolog Programs on Bounded Situation Calculus Theories. 950-956 - Daniel de Leng, Fredrik Heintz:
Qualitative Spatio-Temporal Stream Reasoning with Unobservable Intertemporal Spatial Relations Using Landmarks. 957-963 - Eduard Eiben, Robert Ganian, Sebastian Ordyniak:
Using Decomposition-Parameters for QBF: Mind the Prefix! 964-970 - Valeria Fionda, Gianluigi Greco:
The Complexity of LTL on Finite Traces: Hard and Easy Fragments. 971-977 - Tomi Janhunen, Shahab Tasharrofi, Eugenia Ternovska:
SAT-to-SAT: Declarative Extension of SAT Solvers with New Propagators. 978-984 - Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao:
Knowledge Graph Completion with Adaptive Sparse Transfer Matrix. 985-991 - Yantao Jia, Yuanzhuo Wang, Hailun Lin, Xiaolong Jin, Xueqi Cheng:
Locally Adaptive Translation for Knowledge Graph Embedding. 992-998 - Brendan Juba:
Learning Abductive Reasoning Using Random Examples. 999-1007 - Boris Konev, Ana Ozaki, Frank Wolter:
A Model for Learning Description Logic Ontologies Based on Exact Learning. 1008-1015 - Jérôme Lang, Marija Slavkovik, Srdjan Vesic:
Agenda Separability in Judgment Aggregation. 1016-1022 - Thomas Lukasiewicz, Maria Vanina Martinez, Livia Predoiu, Gerardo I. Simari:
Basic Probabilistic Ontological Data Exchange with Existential Rules. 1023-1029 - Michael J. Maher:
Resistance to Corruption of Strategic Argumentation. 1030-1036 - Christopher A. Merck, Samantha Kleinberg:
Causal Explanation Under Indeterminism: A Sampling Approach. 1037-1043 - Tim Miller, Paolo Felli, Christian J. Muise, Adrian R. Pearce, Liz Sonenberg:
'Knowing Whether' in Proper Epistemic Knowledge Bases. 1044-1050 - Marie-Laure Mugnier, Marie-Christine Rousset, Federico Ulliana:
Ontology-Mediated Queries for NOSQL Databases. 1051-1057 - Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata:
Zero-Suppressed Sentential Decision Diagrams. 1058-1066 - Somdeb Sarkhel, Deepak Venugopal, Tuan Anh Pham, Parag Singla, Vibhav Gogate:
Scalable Training of Markov Logic Networks Using Approximate Counting. 1067-1073 - Siddharth Srivastava, Stuart Russell, Alessandro Pinto:
Metaphysics of Planning Domain Descriptions. 1074-1080 - Cyril J. Stark:
Expressive Recommender Systems through Normalized Nonnegative Models. 1081-1087 - Johannes Peter Wallner, Andreas Niskanen, Matti Järvisalo:
Complexity Results and Algorithms for Extension Enforcement in Abstract Argumentation. 1088-1094 - Hai Wan, Heng Zhang, Peng Xiao, Haoran Huang, Yan Zhang:
Query Answering with Inconsistent Existential Rules under Stable Model Semantics. 1095-1101 - Zhe Wang, Ling-Yu Duan, Tiejun Huang, Wen Gao:
Affinity Preserving Quantization for Hashing: A Vector Quantization Approach to Compact Learn Binary Codes. 1102-1108 - Benjamin Zarrieß, Jens Claßen:
Decidable Verification of Golog Programs over Non-Local Effect Actions. 1109-1115 - Haodi Zhang, Fangzhen Lin:
Mapping Action Language BC to Logic Programs: A Characterization by Postulates. 1116-1123
Technical Papers: Machine Learning Applications
- Pedro L. Ballester, Ricardo Matsumura de Araújo:
On the Performance of GoogLeNet and AlexNet Applied to Sketches. 1124-1128 - Ernesto Brau, Colin Reimer Dawson, Alfredo Carrillo, David Sidi, Clayton T. Morrison:
Bayesian Inference of Recursive Sequences of Group Activities from Tracks. 1129-1137 - Liujuan Cao, Rongrong Ji, Cheng Wang, Jonathan Li:
Towards Domain Adaptive Vehicle Detection in Satellite Image by Supervised Super-Resolution Transfer. 1138-1144 - Shaosheng Cao, Wei Lu, Qiongkai Xu:
Deep Neural Networks for Learning Graph Representations. 1145-1152 - Bei Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang:
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation. 1153-1159 - Hao Chen, Qi Dou, Xi Wang, Jing Qin, Pheng-Ann Heng:
Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks. 1160-1166 - Hao Chen, Xiaojuan Qi, Jie-Zhi Cheng, Pheng-Ann Heng:
Deep Contextual Networks for Neuronal Structure Segmentation. 1167-1173 - Lin Chen, Forrest W. Crawford, Amin Karbasi:
Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling. 1174-1180 - Zhengming Ding, Yun Fu:
Robust Multi-View Subspace Learning through Dual Low-Rank Decompositions. 1181-1187 - Lianli Gao, Jingkuan Song, Feiping Nie, Fuhao Zou, Nicu Sebe, Heng Tao Shen:
Graph-without-cut: An Ideal Graph Learning for Image Segmentation. 1188-1194 - Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan:
MOOCs Meet Measurement Theory: A Topic-Modelling Approach. 1195-1201 - Derrall Heath, Dan Ventura:
Creating Images by Learning Image Semantics Using Vector Space Models. 1202-1208 - Lu Hou, James T. Kwok, Jacek M. Zurada:
Efficient Learning of Timeseries Shapelets. 1209-1215 - Jia Jia, Jie Huang, Guangyao Shen, Tao He, Zhiyuan Liu, Huan-Bo Luan, Chao Yan:
Learning to Appreciate the Aesthetic Effects of Clothing. 1216-1222 - Shuhui Jiang, Ming Shao, Chengcheng Jia, Yun Fu:
Consensus Style Centralizing Auto-Encoder for Weak Style Classification. 1223-1229 - Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou:
Column Sampling Based Discrete Supervised Hashing. 1230-1236 - Chia-Tung Kuo, Ian Davidson:
A Framework for Outlier Description Using Constraint Programming. 1237-1243 - Qiang Li, Wei Bian, Richard Yi Da Xu, Jane You, Dacheng Tao:
Random Mixed Field Model for Mixed-Attribute Data Restoration. 1244-1250 - Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang:
Learning with Marginalized Corrupted Features and Labels Together. 1251-1257 - Hong Liu, Rongrong Ji, Yongjian Wu, Wei Liu:
Towards Optimal Binary Code Learning via Ordinal Embedding. 1258-1265 - Li Liu, Li Cheng, Ye Liu, Yongpo Jia, David S. Rosenblum:
Recognizing Complex Activities by a Probabilistic Interval-Based Model. 1266-1272 - Zitao Liu, Milos Hauskrecht:
Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical Data. 1273-1279 - Andrea Loreggia, Yuri Malitsky, Horst Samulowitz, Vijay A. Saraswat:
Deep Learning for Algorithm Portfolios. 1280-1286 - Lili Mou, Ge Li, Lu Zhang, Tao Wang, Zhi Jin:
Convolutional Neural Networks over Tree Structures for Programming Language Processing. 1287-1293 - Aniruddh Nath, Pedro M. Domingos:
Learning Tractable Probabilistic Models for Fault Localization. 1294-1301 - Feiping Nie, Wei Zhu, Xuelong Li:
Unsupervised Feature Selection with Structured Graph Optimization. 1302-1308 - NhatHai Phan, Yue Wang, Xintao Wu, Dejing Dou:
Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction. 1309-1316 - Lam Tran, Deguang Kong, Hongxia Jin, Ji Liu:
Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical Features. 1317-1323 - Hua Wang, Cheng Deng, Hao Zhang, Xinbo Gao, Heng Huang:
Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning. 1324-1330 - Xin Wang, Roger Donaldson, Christopher Nell, Peter Gorniak, Martin Ester, Jiajun Bu:
Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix Factorization. 1331-1337 - Ying Wei, Yin Zhu, Cane Wing-ki Leung, Yangqiu Song, Qiang Yang:
Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning. 1338-1344 - Jacob Whitehill:
Exploiting an Oracle That Reports AUC Scores in Machine Learning Contests. 1345-1351 - Nannan Wu, Feng Chen, Jianxin Li, Baojian Zhou, Naren Ramakrishnan:
Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors. 1352-1358 - Chenjun Xiao, Martin Müller:
Factorization Ranking Model for Move Prediction in the Game of Go. 1359-1365 - Zhe Xue, Guorong Li, Qingming Huang:
Joint Multi-View Representation Learning and Image Tagging. 1366-1372 - Margot Lisa-Jing Yann, Yichuan Tang:
Learning Deep Convolutional Neural Networks for X-Ray Protein Crystallization Image Analysis. 1373-1379 - Baosheng Yu, Meng Fang, Dacheng Tao:
Linear Submodular Bandits with a Knapsack Constraint. 1380-1386 - Baosheng Yu, Meng Fang, Dacheng Tao, Jie Yin:
Submodular Asymmetric Feature Selection in Cascade Object Detection. 1387-1393 - Shuangfei Zhai, Zhongfei (Mark) Zhang:
Semisupervised Autoencoder for Sentiment Analysis. 1394-1400 - Man Zhang, Ran He, Dong Cao, Zhenan Sun, Tieniu Tan:
Simultaneous Feature and Sample Reduction for Image-Set Classification. 1401-1407 - Weinan Zhang, Ulrich Paquet, Katja Hofmann:
Collective Noise Contrastive Estimation for Policy Transfer Learning. 1408-1414 - Yizhe Zhang, Ricardo Henao, Lawrence Carin, Jianling Zhong, Alexander J. Hartemink:
Learning a Hybrid Architecture for Sequence Regression and Annotation. 1415-1421 - Handong Zhao, Zhengming Ding, Yun Fu:
Pose-Dependent Low-Rank Embedding for Head Pose Estimation. 1422-1428 - Vincent W. Zheng, Hong Cao, Shenghua Gao, Aditi Adhikari, Miao Lin, Kevin Chen-Chuan Chang:
Cold-Start Heterogeneous-Device Wireless Localization. 1429-1435 - Yangxin Zhong, Shixia Liu, Xiting Wang, Jiannan Xiao, Yangqiu Song:
Tracking Idea Flows between Social Groups. 1436-1443 - Tengfei Zhou, Hui Qian, Zebang Shen, Congfu Xu:
Fast Hybrid Algorithm for Big Matrix Recovery. 1444-1451
Technical Papers: Machine Learning Methods
- Scott Alfeld, Xiaojin Zhu, Paul Barford:
Data Poisoning Attacks against Autoregressive Models. 1452-1458 - Olivier Bachem, Mario Lucic, S. Hamed Hassani, Andreas Krause:
Approximate K-Means++ in Sublinear Time. 1459-1467 - André da Motta Salles Barreto, Rafael L. Beirigo, Joelle Pineau, Doina Precup:
Incremental Stochastic Factorization for Online Reinforcement Learning. 1468-1475 - Marc G. Bellemare, Georg Ostrovski, Arthur Guez, Philip S. Thomas, Rémi Munos:
Increasing the Action Gap: New Operators for Reinforcement Learning. 1476-1483 - Massimo Cairo, Gabriele Farina, Romeo Rizzi:
Decoding Hidden Markov Models Faster Than Viterbi Via Online Matrix-Vector (max, +)-Multiplication. 1484-1490 - Gang Chen, Haiying Zhang, Caiming Xiong:
Maximum Margin Dirichlet Process Mixtures for Clustering. 1491-1497 - Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen:
Progressive EM for Latent Tree Models and Hierarchical Topic Detection. 1498-1504 - Jonghyun Choi, Sung Ju Hwang, Leonid Sigal, Larry S. Davis:
Knowledge Transfer with Interactive Learning of Semantic Relationships. 1505-1511 - Nguyen Viet Cuong, Nan Ye, Wee Sun Lee:
Robustness of Bayesian Pool-Based Active Learning Against Prior Misspecification. 1512-1518 - Christian Daniel, Jonathan Taylor, Sebastian Nowozin:
Learning Step Size Controllers for Robust Neural Network Training. 1519-1525 - Lorenzo De Stefani, Alessandro Epasto, Eli Upfal, Fabio Vandin:
Reconstructing Hidden Permutations Using the Average-Precision (AP) Correlation Statistic. 1526-1532 - Leon Derczynski, Sean Chester:
Generalised Brown Clustering and Roll-Up Feature Generation. 1533-1539 - Giulia DeSalvo, Mehryar Mohri:
Random Composite Forests. 1540-1546 - Xuhui Fan, Bin Li, Yi Wang, Yang Wang, Fang Chen:
The Ostomachion Process. 1547-1553 - Marco Fraccaro, Ulrich Paquet, Ole Winther:
Indexable Probabilistic Matrix Factorization for Maximum Inner Product Search. 1554-1560 - Yasuhiro Fujiwara, Yasutoshi Ida, Hiroaki Shiokawa, Sotetsu Iwamura:
Fast Lasso Algorithm via Selective Coordinate Descent. 1561-1567 - Longwen Gao, Shuigeng Zhou:
Group and Graph Joint Sparsity for Linked Data Classification. 1568-1574 - Wei Gao, Lu Wang, Yufeng Li, Zhi-Hua Zhou:
Risk Minimization in the Presence of Label Noise. 1575-1581 - Behnam Gholami, Sejong Yoon, Vladimir Pavlovic:
Decentralized Approximate Bayesian Inference for Distributed Sensor Network. 1582-1588 - Soumya Ghosh, Francesco Maria Delle Fave, Jonathan S. Yedidia:
Assumed Density Filtering Methods for Learning Bayesian Neural Networks. 1589-1595 - Jesse Glass, Mohamed F. Ghalwash, Milan Vukicevic, Zoran Obradovic:
Extending the Modelling Capacity of Gaussian Conditional Random Fields while Learning Faster. 1596-1602 - Djordje Gligorijevic, Jelena Stojanovic, Zoran Obradovic:
Uncertainty Propagation in Long-Term Structured Regression on Evolving Networks. 1603-1609 - Chen Gong, Dacheng Tao, Jie Yang, Wei Liu:
Teaching-to-Learn and Learning-to-Teach for Multi-label Propagation. 1610-1616 - Jun Guo, Yanqing Guo, Xiangwei Kong, Man Zhang, Ran He:
Discriminative Analysis Dictionary Learning. 1617-1623 - Yuchen Guo, Guiguang Ding, Yuqi Wang, Xiaoming Jin:
Active Learning with Cross-Class Knowledge Transfer. 1624-1630 - Assaf Hallak, Aviv Tamar, Rémi Munos, Shie Mannor:
Generalized Emphatic Temporal Difference Learning: Bias-Variance Analysis. 1631-1637 - Lei Han, Yu Zhang:
Multi-Stage Multi-Task Learning with Reduced Rank. 1638-1644 - Lei Han, Yu Zhang:
Reduction Techniques for Graph-Based Convex Clustering. 1645-1651 - Ahsanul Haque, Latifur Khan, Michael Baron:
SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream. 1652-1658 - Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic:
Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce Hubness. 1659-1665 - Chenping Hou, Feiping Nie, Dacheng Tao:
Discriminative Vanishing Component Analysis. 1666-1672 - Ming Hou, Qibin Zhao, Brahim Chaib-draa, Andrzej Cichocki:
Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression. 1673-1679 - Peng Hou, Xin Geng, Min-Ling Zhang:
Multi-Label Manifold Learning. 1680-1686 - Zhouyuan Huo, Ji Liu, Heng Huang:
Optimal Discrete Matrix Completion. 1687-1693 - Daniel Jiwoong Im, Mohamed Ishmael Diwan Belghazi, Roland Memisevic:
Conservativeness of Untied Auto-Encoders. 1694-1700 - Katsuhiko Ishiguro, Issei Sato, Masahiro Nakano, Akisato Kimura, Naonori Ueda:
Infinite Plaid Models for Infinite Bi-Clustering. 1701-1708 - Nan Jiang, Alex Kulesza, Satinder Singh:
Improving Predictive State Representations via Gradient Descent. 1709-1715 - Shangpu Jiang, Daniel Lowd, Dejing Dou:
A Probabilistic Approach to Knowledge Translation. 1716-1722 - Wenhao Jiang, Hongchang Gao, Fu-Lai Chung, Heng Huang:
The l2, 1-Norm Stacked Robust Autoencoders for Domain Adaptation. 1723-1729 - Wuxuan Jiang, Cong Xie, Zhihua Zhang:
Wishart Mechanism for Differentially Private Principal Components Analysis. 1730-1736 - Xiaojie Jin, Chunyan Xu, Jiashi Feng, Yunchao Wei, Junjun Xiong, Shuicheng Yan:
Deep Learning with S-Shaped Rectified Linear Activation Units. 1737-1743 - Pooria Joulani, András György, Csaba Szepesvári:
Delay-Tolerant Online Convex Optimization: Unified Analysis and Adaptive-Gradient Algorithms. 1744-1750 - Guoliang Kang, Jun Li, Dacheng Tao:
Shakeout: A New Regularized Deep Neural Network Training Scheme. 1751-1757 - Kenji Kawaguchi:
Bounded Optimal Exploration in MDP. 1758-1764 - Deguang Kong, Ji Liu, Bo Liu, Xuan Bao:
Uncorrelated Group LASSO. 1765-1771 - Atsutoshi Kumagai, Tomoharu Iwata:
Learning Future Classifiers without Additional Data. 1772-1778 - Guy Lever, John Shawe-Taylor, Ronnie Stafford, Csaba Szepesvári:
Compressed Conditional Mean Embeddings for Model-Based Reinforcement Learning. 1779-1787 - Chunyuan Li, Changyou Chen, David E. Carlson, Lawrence Carin:
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks. 1788-1794 - Chunyuan Li, Changyou Chen, Kai Fan, Lawrence Carin:
High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models. 1795-1801 - Hao Li, Maoguo Gong, Deyu Meng, Qiguang Miao:
Multi-Objective Self-Paced Learning. 1802-1808 - Yeqing Li, Junzhou Huang, Wei Liu:
Scalable Sequential Spectral Clustering. 1809-1815 - Yufeng Li, James T. Kwok, Zhi-Hua Zhou:
Towards Safe Semi-Supervised Learning for Multivariate Performance Measures. 1816-1822 - Yujun Li, Kaichun Mo, Haishan Ye:
Accelerating Random Kaczmarz Algorithm Based on Clustering Information. 1823-1829 - Zhe Li, Tianbao Yang, Lijun Zhang, Rong Jin:
Fast and Accurate Refined Nyström-Based Kernel SVM. 1830-1836 - Qianli Liao, Joel Z. Leibo, Tomaso A. Poggio:
How Important Is Weight Symmetry in Backpropagation? 1837-1844 - Christopher H. Lin, Mausam, Daniel S. Weld:
Re-Active Learning: Active Learning with Relabeling. 1845-1852 - Peng Lin, Bang Zhang, Ting Guo, Yang Wang, Fang Chen:
Interaction Point Processes via Infinite Branching Model. 1853-1859 - Chun Kai Ling, Kian Hsiang Low, Patrick Jaillet:
Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond. 1860-1866 - Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun:
Online ARIMA Algorithms for Time Series Prediction. 1867-1873 - Hongfu Liu, Ming Shao, Yun Fu:
Consensus Guided Unsupervised Feature Selection. 1874-1880 - Weiwei Liu, Ivor W. Tsang:
Sparse Perceptron Decision Tree for Millions of Dimensions. 1881-1887 - Xinwang Liu, Yong Dou, Jianping Yin, Lei Wang, En Zhu:
Multiple Kernel k-Means Clustering with Matrix-Induced Regularization. 1888-1894 - Yang Liu, Mingyan Liu:
Finding One's Best Crowd: Online Learning By Exploiting Source Similarity. 1895-1901 - Yang Lu, Song-Chun Zhu, Ying Nian Wu:
Learning FRAME Models Using CNN Filters. 1902-1910 - Kevin Sebastian Luck, Joni Pajarinen, Erik Berger, Ville Kyrki, Heni Ben Amor:
Sparse Latent Space Policy Search. 1911-1918 - Takanori Maehara, Kohei Hayashi, Ken-ichi Kawarabayashi:
Expected Tensor Decomposition with Stochastic Gradient Descent. 1919-1925 - Travis Mandel, Yun-En Liu, Emma Brunskill, Zoran Popovic:
Offline Evaluation of Online Reinforcement Learning Algorithms. 1926-1933 - Warwick Masson, Pravesh Ranchod, George Dimitri Konidaris:
Reinforcement Learning with Parameterized Actions. 1934-1940 - Yadong Mu:
Fixed-Rank Supervised Metric Learning on Riemannian Manifold. 1941-1947 - Jinseok Nam, Eneldo Loza Mencía, Johannes Fürnkranz:
All-in Text: Learning Document, Label, and Word Representations Jointly. 1948-1954 - Maximilian Nickel, Lorenzo Rosasco, Tomaso A. Poggio:
Holographic Embeddings of Knowledge Graphs. 1955-1961 - Feiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang:
New l1-Norm Relaxations and Optimizations for Graph Clustering. 1962-1968 - Feiping Nie, Xiaoqian Wang, Michael I. Jordan, Heng Huang:
The Constrained Laplacian Rank Algorithm for Graph-Based Clustering. 1969-1976 - Jason Pazis, Ronald Parr:
Efficient PAC-Optimal Exploration in Concurrent, Continuous State MDPs with Delayed Updates. 1977-1985 - Vahan Petrosyan, Alexandre Proutière:
Viral Clustering: A Robust Method to Extract Structures in Heterogeneous Datasets. 1986-1992 - Matteo Pirotta, Marcello Restelli:
Inverse Reinforcement Learning through Policy Gradient Minimization. 1993-1999 - Hong Qian, Yang Yu:
Scaling Simultaneous Optimistic Optimization for High-Dimensional Non-Convex Functions with Low Effective Dimensions. 2000-2006 - Ashish Sabharwal, Horst Samulowitz, Gerald Tesauro:
Selecting Near-Optimal Learners via Incremental Data Allocation. 2007-2015 - Fanhua Shang, Yuanyuan Liu, James Cheng:
Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization. 2016-2022 - Ming Shao, Zhengming Ding, Handong Zhao, Yun Fu:
Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain Adaptation. 2023-2029 - Yuan Shi, Wenzhe Li, Fei Sha:
Metric Learning for Ordinal Data. 2030-2036 - Adish Singla, Sebastian Tschiatschek, Andreas Krause:
Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization. 2037-2043 - Yang Song, Jun Zhu:
Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization. 2044-2050 - Lukas Studer, Loïc Paulevé, Christoph Zechner, Matthias Reumann, María Rodríguez Martínez, Heinz Koeppl:
Marginalized Continuous Time Bayesian Networks for Network Reconstruction from Incomplete Observations. 2051-2057 - Baochen Sun, Jiashi Feng, Kate Saenko:
Return of Frustratingly Easy Domain Adaptation. 2058-2065 - Shizhao Sun, Wei Chen, Liwei Wang, Xiaoguang Liu, Tie-Yan Liu:
On the Depth of Deep Neural Networks: A Theoretical View. 2066-2072 - Danica J. Sutherland, Junier B. Oliva, Barnabás Póczos, Jeff G. Schneider:
Linear-Time Learning on Distributions with Approximate Kernel Embeddings. 2073-2079 - Mingkui Tan, Yan Yan, Li Wang, Anton van den Hengel, Ivor W. Tsang, Qinfeng (Javen) Shi:
Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data. 2080-2086 - Aristide C. Y. Tossou, Christos Dimitrakakis:
Algorithms for Differentially Private Multi-Armed Bandits. 2087-2093 - Hado van Hasselt, Arthur Guez, David Silver:
Deep Reinforcement Learning with Double Q-Learning. 2094-2100 - Arun Venkatraman, Wen Sun, Martial Hebert, J. Andrew Bagnell, Byron Boots:
Online Instrumental Variable Regression with Applications to Online Linear System Identification. 2101-2107 - James R. Voss, Mikhail Belkin, Luis Rademacher:
The Hidden Convexity of Spectral Clustering. 2108-2114 - Boyu Wang, Joelle Pineau, Borja Balle:
Multitask Generalized Eigenvalue Program. 2115-2121 - Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Product Grassmann Manifold Representation and Its LRR Models. 2122-2129 - Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han:
Text Classification with Heterogeneous Information Network Kernels. 2130-2136 - Di Wang, Xiaoqin Zhang, Mingyu Fan, Xiuzi Ye:
Semi-Supervised Dictionary Learning via Structural Sparse Preserving. 2137-2144 - Donghui Wang, Yanan Li, Yuetan Lin, Yueting Zhuang:
Relational Knowledge Transfer for Zero-Shot Learning. 2145-2151 - Jim Jing-Yan Wang, Ivor Wai-Hung Tsang, Xin Gao:
Optimizing Multivariate Performance Measures from Multi-View Data. 2152-2158 - Shouyi Wang, KinMing Kam, Cao Xiao, Stephen R. Bowen, Wanpracha Art Chaovalitwongse:
An Efficient Time Series Subsequence Pattern Mining and Prediction Framework with an Application to Respiratory Motion Prediction. 2159-2165 - Xin Wang, Ming-Ching Chang, Yiming Ying, Siwei Lyu:
Co-Regularized PLSA for Multi-Modal Learning. 2166-2172 - Xingfu Wang, Lin Wang, Jing Chen, Litao Wu:
Toward a Better Understanding of Deep Neural Network Based Acoustic Modelling: An Empirical Investigation. 2173-2179 - Yining Wang, Aarti Singh:
Noise-Adaptive Margin-Based Active Learning and Lower Bounds under Tsybakov Noise Condition. 2180-2186 - Yu-Xiong Wang, Martial Hebert:
Learning by Transferring from Unsupervised Universal Sources. 2187-2193 - Zhangyang Wang, Qing Ling, Thomas S. Huang:
Learning Deep ℓ0 Encoders. 2194-2200 - Zhiguang Wang, Tim Oates, James Lo:
Adaptive Normalized Risk-Averting Training for Deep Neural Networks. 2201-2207 - Jianqiao Wangni, Ning Chen:
Nonlinear Feature Extraction with Max-Margin Data Shifting. 2208-2214 - Xiaokai Wei, Bokai Cao, Philip S. Yu:
Unsupervised Feature Selection on Networks: A Generative View. 2215-2221 - Christian Wirth, Johannes Fürnkranz, Gerhard Neumann:
Model-Free Preference-Based Reinforcement Learning. 2222-2228 - Baoyuan Wu, Siwei Lyu, Bernard Ghanem:
Constrained Submodular Minimization for Missing Labels and Class Imbalance in Multi-label Learning. 2229-2236 - Jianxin Wu, Bin-Bin Gao, Guoqing Liu:
Representing Sets of Instances for Visual Recognition. 2237-2243 - Yan Yan, Zhongwen Xu, Ivor W. Tsang, Guodong Long, Yi Yang:
Robust Semi-Supervised Learning through Label Aggregation. 2244-2250 - Meng Yang, Weiyang Liu, Weixin Luo, Linlin Shen:
Analysis-Synthesis Dictionary Learning for Universality-Particularity Representation Based Classification. 2251-2257 - Shangdong Yang, Yang Gao, Bo An, Hao Wang, Xingguo Chen:
Efficient Average Reward Reinforcement Learning Using Constant Shifting Values. 2258-2264 - Shuo Yang, Tushar Khot, Kristian Kersting, Sriraam Natarajan:
Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach. 2265-2271 - Han-Jia Ye, De-Chuan Zhan, Yuan Jiang:
Instance Specific Metric Subspace Learning: A Bayesian Approach. 2272-2278 - Xiyu Yu, Wei Bian, Dacheng Tao:
Scalable Completion of Nonnegative Matrix with Separable Structure. 2279-2285 - Yang Yu, Hong Qian, Yi-Qi Hu:
Derivative-Free Optimization via Classification. 2286-2292 - Zhiding Yu, Weiyang Liu, Wenbo Liu, Yingzhen Yang, Ming Li, B. V. K. Vijaya Kumar:
On Order-Constrained Transitive Distance Clustering. 2293-2299 - Ganzhao Yuan, Bernard Ghanem:
A Proximal Alternating Direction Method for Semi-Definite Rank Minimization. 2300-2308 - De-Chuan Zhan, Peng Hu, Zui Chu, Zhi-Hua Zhou:
Learning Expected Hitting Time Distance. 2309-2314 - Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou:
Stochastic Optimization for Kernel PCA. 2315-2322 - Ruiliang Zhang, Shuai Zheng, James T. Kwok:
Asynchronous Distributed Semi-Stochastic Gradient Optimization. 2323-2329 - Shubao Zhang, Hui Qian, Xiaojin Gong:
An Alternating Proximal Splitting Method with Global Convergence for Nonconvex Structured Sparsity Optimization. 2330-2336 - Weizhong Zhang, Lijun Zhang, Rong Jin, Deng Cai, Xiaofei He:
Accelerated Sparse Linear Regression via Random Projection. 2337-2343 - Yan-Ming Zhang, Xu-Yao Zhang, Xiao-Tong Yuan, Cheng-Lin Liu:
Large-Scale Graph-Based Semi-Supervised Learning via Tree Laplacian Solver. 2344-2350 - Yehong Zhang, Trong Nghia Hoang, Kian Hsiang Low, Mohan S. Kankanhalli:
Near-Optimal Active Learning of Multi-Output Gaussian Processes. 2351-2357 - Zihan Zhang, Xiaoming Jin, Lianghao Li, Guiguang Ding, Qiang Yang:
Multi-Domain Active Learning for Recommendation. 2358-2364 - Zuhe Zhang, Benjamin I. P. Rubinstein, Christos Dimitrakakis:
On the Differential Privacy of Bayesian Inference. 2365-2371 - Shenjian Zhao, Cong Xie, Zhihua Zhang:
A Scalable and Extensible Framework for Superposition-Structured Models. 2372-2378 - Shen-Yi Zhao, Wu-Jun Li:
Fast Asynchronous Parallel Stochastic Gradient Descent: A Lock-Free Approach with Convergence Guarantee. 2379-2385 - Shandian Zhe, Yuan Qi, Youngja Park, Zenglin Xu, Ian M. Molloy, Suresh Chari:
DinTucker: Scaling Up Gaussian Process Models on Large Multidimensional Arrays. 2386-2392 - Shuai Zheng, Ruiliang Zhang, James T. Kwok:
Fast Nonsmooth Regularized Risk Minimization with Continuation. 2393-2399 - Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Shen-Shyang Ho:
Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction. 2400-2406 - Yuxun Zhou, Ninghang Hu, Costas J. Spanos:
Veto-Consensus Multiple Kernel Learning. 2407-2414 - Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao:
Deep Hashing Network for Efficient Similarity Retrieval. 2415-2421 - Pengfei Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo:
Coupled Dictionary Learning for Unsupervised Feature Selection. 2422-2428 - Zhanxing Zhu, Amos J. Storkey:
Stochastic Parallel Block Coordinate Descent for Large-Scale Saddle Point Problems. 2429-2437
Technical Papers: Multiagent Systems
- Abhijin Adiga, Anil Vullikanti:
Temporal Vaccination Games under Resource Constraints. 2438-2444 - Bikramjit Banerjee, Steven Loscalzo, Daniel Lucas Thompson:
Detection of Plan Deviation in Multi-Agent Systems. 2445-2451 - Robert Bredereck, Piotr Faliszewski, Rolf Niedermeier, Nimrod Talmon:
Complexity of Shift Bribery in Committee Elections. 2452-2458 - Taolue Chen, Fu Song, Zhilin Wu:
Global Model Checking on Pushdown Multi-Agent Systems. 2459-2465 - Palash Dey, Neeldhara Misra, Y. Narahari:
Frugal Bribery in Voting. 2466-2472 - Maxim Egorov, Mykel J. Kochenderfer, Jaak J. Uudmae:
Target Surveillance in Adversarial Environments Using POMDPs. 2473-2479 - Ferdinando Fioretto, William Yeoh, Enrico Pontelli:
Multi-Variable Agents Decomposition for DCOPs. 2480-2486 - Julio Erasmo Godoy, Ioannis Karamouzas, Stephen J. Guy, Maria L. Gini:
Implicit Coordination in Crowded Multi-Agent Navigation. 2487-2493 - The Anh Han:
Emergence of Social Punishment and Cooperation through Prior Commitments. 2494-2500 - Zehong Hu, Meng Sha, Moath H. A. Jarrah, Jie Zhang, Hui Xi:
Efficient Computation of Emergent Equilibrium in Agent-Based Simulation. 2501-2508 - Xiaowei Huang, Qingliang Chen, Kaile Su:
Strengthening Agents Strategic Ability with Communication. 2509-2515 - Xiaowei Huang, Marta Kwiatkowska:
Model Checking Probabilistic Knowledge: A PSPACE Case. 2516-2522 - Miao Liu, Christopher Amato, Emily P. Anesta, John Daniel Griffith, Jonathan P. How:
Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic Environments. 2523-2529 - Alessandro Panella, Piotr J. Gmytrasiewicz:
Bayesian Learning of Other Agents' Finite Controllers for Interactive POMDPs. 2530-2536 - Philipp Robbel, Frans A. Oliehoek, Mykel J. Kochenderfer:
Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs. 2537-2543 - Vaibhav V. Unhelkar, Julie A. Shah:
ConTaCT: Deciding to Communicate during Time-Critical Collaborative Tasks in Unknown, Deterministic Domains. 2544-2550 - Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu:
Is It Harmful When Advisors Only Pretend to Be Honest? 2551-2557 - Yuan Yao, Brian Logan, John Thangarajah:
Robust Execution of BDI Agent Programs by Exploiting Synergies Between Intentions. 2558-2565
Technical Papers: NLP and Knowledge Representation
- Hadi Amiri, Hal Daumé III:
Short Text Representation for Detecting Churn in Microblogs. 2566-2572 - Tal Baumel, Raphael Cohen, Michael Elhadad:
Topic Concentration in Query Focused Summarization Datasets. 2573-2579 - Peter Clark, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter D. Turney, Daniel Khashabi:
Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions. 2580-2586 - Wanyun Cui, Xiyou Zhou, Hangyu Lin, Yanghua Xiao, Haixun Wang, Seung-won Hwang, Wei Wang:
Verb Pattern: A Probabilistic Semantic Representation on Verbs. 2587-2593 - Luis Espinosa Anke, Horacio Saggion, Francesco Ronzano, Roberto Navigli:
ExTaSem! Extending, Taxonomizing and Semantifying Domain Terminologies. 2594-2600 - Francis Ferraro, Benjamin Van Durme:
A Unified Bayesian Model of Scripts, Frames and Language. 2601-2607 - Josu Goikoetxea, Eneko Agirre, Aitor Soroa:
Single or Multiple? Combining Word Representations Independently Learned from Text and WordNet. 2608-2614 - Yu Gong, Kaiqi Zhao, Kenny Qili Zhu:
Representing Verbs as Argument Concepts. 2615-2621 - Stephanie L. Hyland, Theofanis Karaletsos, Gunnar Rätsch:
A Generative Model of Words and Relationships from Multiple Sources. 2622-2629 - Lemao Liu, Andrew M. Finch, Masao Utiyama, Eiichiro Sumita:
Agreement on Target-Bidirectional LSTMs for Sequence-to-Sequence Learning. 2630-2637 - Jin-Woo Park, Seung-won Hwang, Haixun Wang:
Fine-Grained Semantic Conceptualization of FrameNet. 2638-2644 - Likun Qiu, Yue Zhang, Meishan Zhang:
Dependency Tree Representations of Predicate-Argument Structures. 2645-2651 - Alakananda Vempala, Eduardo Blanco:
Complementing Semantic Roles with Temporally Anchored Spatial Knowledge: Crowdsourced Annotations and Experiments. 2652-2658 - Ruobing Xie, Zhiyuan Liu, Jia Jia, Huanbo Luan, Maosong Sun:
Representation Learning of Knowledge Graphs with Entity Descriptions. 2659-2665 - Chen Xing, Yuan Wang, Jie Liu, Yalou Huang, Wei-Ying Ma:
Hashtag-Based Sub-Event Discovery Using Mutually Generative LDA in Twitter. 2666-2672 - Qian Yang, Rebecca J. Passonneau, Gerard de Melo:
PEAK: Pyramid Evaluation via Automated Knowledge Extraction. 2673-2680
Technical Papers: NLP and Machine Learning
- Amos Azaria, Jayant Krishnamurthy, Tom M. Mitchell:
Instructable Intelligent Personal Agent. 2681-2689 - Danushka Bollegala, Mohammed Alsuhaibani, Takanori Maehara, Ken-ichi Kawarabayashi:
Joint Word Representation Learning Using a Corpus and a Semantic Lexicon. 2690-2696 - Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III:
Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text. 2697-2703 - Snigdha Chaturvedi, Shashank Srivastava, Hal Daumé III, Chris Dyer:
Modeling Evolving Relationships Between Characters in Literary Novels. 2704-2710 - Bei Chen, Jun Zhu, Nan Yang, Tian Tian, Ming Zhou, Bo Zhang:
Jointly Modeling Topics and Intents with Global Order Structure. 2711-2717 - Sahil Garg, Aram Galstyan, Ulf Hermjakob, Daniel Marcu:
Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text. 2718-2726 - Mark Granroth-Wilding, Stephen Clark:
What Happens Next? Event Prediction Using a Compositional Neural Network Model. 2727-2733 - Jiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang, Ting Liu:
A Representation Learning Framework for Multi-Source Transfer Parsing. 2734-2740 - Yoon Kim, Yacine Jernite, David A. Sontag, Alexander M. Rush:
Character-Aware Neural Language Models. 2741-2749 - Yang Liu, Sujian Li, Xiaodong Zhang, Zhifang Sui:
Implicit Discourse Relation Classification via Multi-Task Neural Networks. 2750-2756 - Michal Lukasik, Trevor Cohn:
Convolution Kernels for Discriminative Learning from Streaming Text. 2757-2763 - Aman Madaan, Ashish R. Mittal, Mausam, Ganesh Ramakrishnan, Sunita Sarawagi:
Numerical Relation Extraction with Minimal Supervision. 2764-2771 - Hongyuan Mei, Mohit Bansal, Matthew R. Walter:
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences. 2772-2778 - Arindam Mitra, Chitta Baral:
Addressing a Question Answering Challenge by Combining Statistical Methods with Inductive Rule Learning and Reasoning. 2779-2785 - Jonas Mueller, Aditya Thyagarajan:
Siamese Recurrent Architectures for Learning Sentence Similarity. 2786-2792 - Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng:
Text Matching as Image Recognition. 2793-2799 - Karl Pichotta, Raymond J. Mooney:
Learning Statistical Scripts with LSTM Recurrent Neural Networks. 2800-2806 - Shashank Srivastava, Snigdha Chaturvedi, Tom M. Mitchell:
Inferring Interpersonal Relations in Narrative Summaries. 2807-2813 - Svetlana Stoyanchev, Amanda Stent, Srinivas Bangalore:
Evaluation of Semantic Dependency Labeling Across Domains. 2814-2820 - Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations. 2821-2827 - Masashi Tsubaki, Kevin Duh, Masashi Shimbo, Yuji Matsumoto:
Non-Linear Similarity Learning for Compositionality. 2828-2834 - Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng:
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations. 2835-2841 - Linlin Wang, Zhu Cao, Yu Xia, Gerard de Melo:
Morphological Segmentation with Window LSTM Neural Networks. 2842-2848 - Michael L. Wick, Pallika Kanani, Adam Craig Pocock:
Minimally-Constrained Multilingual Embeddings via Artificial Code-Switching. 2849-2855 - Tong Xiao, Jingbo Zhu, Chunliang Zhang, Tongran Liu:
Syntactic Skeleton-Based Translation. 2856-2862 - Eray Yildiz, Caglar Tirkaz, H. Bahadir Sahin, Mustafa Tolga Eren, Omer Ozan Sonmez:
A Morphology-Aware Network for Morphological Disambiguation. 2863-2869 - Meng Zhang, Yang Liu, Huan-Bo Luan, Maosong Sun, Tatsuya Izuha, Jie Hao:
Building Earth Mover's Distance on Bilingual Word Embeddings for Machine Translation. 2870-2876 - Li Zhao, Minlie Huang, Ziyu Yao, Rongwei Su, Yingying Jiang, Xiaoyan Zhu:
Semi-Supervised Multinomial Naive Bayes for Text Classification by Leveraging Word-Level Statistical Constraint. 2877-2884
Technical Papers: NLP and Text Mining
- Naveen Arivazhagan, Christos Christodoulopoulos, Dan Roth:
Labeling the Semantic Roles of Commas. 2885-2891 - Adrian Benton, Michael J. Paul, Braden Hancock, Mark Dredze:
Collective Supervision of Topic Models for Predicting Surveys with Social Media. 2892-2898 - Lidong Bing, Mingyang Ling, Richard C. Wang, William W. Cohen:
Distant IE by Bootstrapping Using Lists and Document Structure. 2899-2905 - Ziqiang Cao, Chengyao Chen, Wenjie Li, Sujian Li, Furu Wei, Ming Zhou:
TGSum: Build Tweet Guided Multi-Document Summarization Dataset. 2906-2912 - Chen Chen, Vincent Ng:
Joint Inference over a Lightly Supervised Information Extraction Pipeline: Towards Event Coreference Resolution for Resource-Scarce Languages. 2913-2920 - Jifan Chen, Qi Zhang, Pengfei Liu, Xuanjing Huang:
Discourse Relations Detection via a Mixed Generative-Discriminative Framework. 2921-2927 - Mihai Dascalu, Danielle S. McNamara, Scott A. Crossley, Stefan Trausan-Matu:
Age of Exposure: A Model of Word Learning. 2928-2934 - Haibo Ding, Ellen Riloff:
Acquiring Knowledge of Affective Events from Blogs Using Label Propagation. 2935-2942 - Christian Hadiwinoto, Yang Liu, Hwee Tou Ng:
To Swap or Not to Swap? Exploiting Dependency Word Pairs for Reordering in Statistical Machine Translation. 2943-2949 - Xianpei Han, Le Sun:
Global Distant Supervision for Relation Extraction. 2950-2956 - Yulan He:
Extracting Topical Phrases from Clinical Documents. 2957-2963 - Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Topical Analysis of Interactions Between News and Social Media. 2964-2971 - Zhiwei Jin, Juan Cao, Yongdong Zhang, Jiebo Luo:
News Verification by Exploiting Conflicting Social Viewpoints in Microblogs. 2972-2978 - Marco Lippi, Paolo Torroni:
Argument Mining from Speech: Detecting Claims in Political Debates. 2979-2985 - Qian Liu, Bing Liu, Yuanlin Zhang, Doo Soon Kim, Zhiqiang Gao:
Improving Opinion Aspect Extraction Using Semantic Similarity and Aspect Associations. 2986-2992 - Shulin Liu, Kang Liu, Shizhu He, Jun Zhao:
A Probabilistic Soft Logic Based Approach to Exploiting Latent and Global Information in Event Classification. 2993-2999 - Guangyi Lv, Tong Xu, Enhong Chen, Qi Liu, Yi Zheng:
Reading the Videos: Temporal Labeling for Crowdsourced Time-Sync Videos Based on Semantic Embedding. 3000-3006 - Chen Lyu, Yue Zhang, Donghong Ji:
Joint Word Segmentation, POS-Tagging and Syntactic Chunking. 3007-3014 - Rebecca Mason, Benjamin Gaska, Benjamin Van Durme, Pallavi Choudhury, Ted Hart, Bill Dolan, Kristina Toutanova, Margaret Mitchell:
Microsummarization of Online Reviews: An Experimental Study. 3015-3021 - Jong-Hoon Oh, Kentaro Torisawa, Chikara Hashimoto, Ryu Iida, Masahiro Tanaka, Julien Kloetzer:
A Semi-Supervised Learning Approach to Why-Question Answering. 3022-3029 - Daniel Preotiuc-Pietro, Wei Xu, Lyle H. Ungar:
Discovering User Attribute Stylistic Differences via Paraphrasing. 3030-3037 - Yafeng Ren, Yue Zhang, Meishan Zhang, Donghong Ji:
Improving Twitter Sentiment Classification Using Topic-Enriched Multi-Prototype Word Embeddings. 3038-3044 - Baiyang Wang, Diego Klabjan:
Temporal Topic Analysis with Endogenous and Exogenous Processes. 3045-3051 - Shuai Wang, Zhiyuan Chen, Bing Liu, Sherry Emery:
Identifying Search Keywords for Finding Relevant Social Media Posts. 3052-3058 - Fangzhao Wu, Yongfeng Huang:
Personalized Microblog Sentiment Classification via Multi-Task Learning. 3059-3065 - Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou:
Improving Recommendation of Tail Tags for Questions in Community Question Answering. 3066-3072 - Zhaohui Wu, Yang Song, C. Lee Giles:
Exploring Multiple Feature Spaces for Novel Entity Discovery. 3073-3079 - Jin-ge Yao, Feifan Fan, Wayne Xin Zhao, Xiaojun Wan, Edward Y. Chang, Jianguo Xiao:
Tweet Timeline Generation with Determinantal Point Processes. 3080-3086 - Meishan Zhang, Yue Zhang, Duy-Tin Vo:
Gated Neural Networks for Targeted Sentiment Analysis. 3087-3093 - Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao:
A Joint Model for Question Answering over Multiple Knowledge Bases. 3094-3100 - Zhenzhong Zhang, Le Sun, Xianpei Han:
A Joint Model for Entity Set Expansion and Attribute Extraction from Web Search Queries. 3101-3107 - Hao Zheng, Zhoujun Li, Senzhang Wang, Zhao Yan, Jianshe Zhou:
Aggregating Inter-Sentence Information to Enhance Relation Extraction. 3108-3115
Technical Papers: Planning and Scheduling
- Alessandro Cimatti, Andrea Micheli, Marco Roveri:
Dynamic Controllability of Disjunctive Temporal Networks: Validation and Synthesis of Executable Strategies. 3116-3122 - Amir-massoud Farahmand, Daniel Nikolaev Nikovski, Yuji Igarashi, Hiroki Konaka:
Truncated Approximate Dynamic Programming with Task-Dependent Terminal Value. 3123-3129 - Eric A. Hansen, Ibrahim Abdoulahi:
General Error Bounds in Heuristic Search Algorithms for Stochastic Shortest Path Problems. 3130-3137 - Ping Hou, William Yeoh, Pradeep Varakantham:
Solving Risk-Sensitive POMDPs With and Without Cost Observations. 3138-3144 - Shivaram Kalyanakrishnan, Neeldhara Misra, Aditya Gopalan:
Randomised Procedures for Initialising and Switching Actions in Policy Iteration. 3145-3151 - Sarah Keren, Avigdor Gal, Erez Karpas:
Goal Recognition Design with Non-Observable Actions. 3152-3158 - Radimir Komarnitsky, Guy Shani:
Computing Contingent Plans Using Online Replanning. 3159-3165 - Hang Ma, Craig A. Tovey, Guni Sharon, T. K. Satish Kumar, Sven Koenig:
Multi-Agent Path Finding with Payload Transfers and the Package-Exchange Robot-Routing Problem. 3166-3173 - Joris Scharpff, Diederik M. Roijers, Frans A. Oliehoek, Matthijs T. J. Spaan, Mathijs Michiel de Weerdt:
Solving Transition-Independent Multi-Agent MDPs with Sparse Interactions. 3174-3180 - Tran Cao Son, Orkunt Sabuncu, Christian Schulz-Hanke, Torsten Schaub, William Yeoh:
Solving Goal Recognition Design Using ASP. 3181-3187 - Mauro Vallati, Daniele Magazzeni, Bart De Schutter, Lukás Chrpa, Thomas Leo McCluskey:
Efficient Macroscopic Urban Traffic Models for Reducing Congestion: A PDDL+ Planning Approach. 3188-3194 - Pradeep Varakantham, Na Fu, Hoong Chuin Lau:
A Proactive Sampling Approach to Project Scheduling under Uncertainty. 3195-3201 - Kyle Hollins Wray, Shlomo Zilberstein:
A POMDP Formulation of Proactive Learning. 3202-3208 - Ger Yang, Evdokia Nikolova:
Approximation Algorithms for Route Planning with Nonlinear Objectives. 3209-3217
Technical Papers: Reasoning under Uncertainty
- Supratik Chakraborty, Kuldeep S. Meel, Rakesh Mistry, Moshe Y. Vardi:
Approximate Probabilistic Inference via Word-Level Counting. 3218-3224 - Krishnendu Chatterjee, Martin Chmelik, Jessica Davies:
A Symbolic SAT-Based Algorithm for Almost-Sure Reachability with Small Strategies in POMDPs. 3225-3232 - Arthur Choi, Nazgol Tavabi, Adnan Darwiche:
Structured Features in Naive Bayes Classification. 3233-3240 - Li Chou, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate:
On Parameter Tying by Quantization. 3241-3247 - Carolyn Kim, Ashish Sabharwal, Stefano Ermon:
Exact Sampling with Integer Linear Programs and Random Perturbations. 3248-3254 - Junkyu Lee, Radu Marinescu, Rina Dechter, Alexander Ihler:
From Exact to Anytime Solutions for Marginal MAP. 3255-3262 - Sanghack Lee, Vasant G. Honavar:
On Learning Causal Models from Relational Data. 3263-3270 - Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
Online Spatio-Temporal Matching in Stochastic and Dynamic Domains. 3271-3277 - Ravi Mangal, Xin Zhang, Aditya Kamath, Aditya V. Nori, Mayur Naik:
Scaling Relational Inference Using Proofs and Refutations. 3278-3286 - Hadi Mohasel Afshar, Scott Sanner, Christfried Webers:
Closed-Form Gibbs Sampling for Graphical Models with Algebraic Constraints. 3287-3293 - Siqi Nie, Cassio P. de Campos, Qiang Ji:
Learning Bayesian Networks with Bounded Tree-width via Guided Search. 3294-3300 - Tahrima Rahman, Vibhav Gogate:
Learning Ensembles of Cutset Networks. 3301-3307 - Pedro Henrique de Rodrigues Quemel e Assis Santana, Sylvie Thiébaux, Brian Charles Williams:
RAO*: An Algorithm for Chance-Constrained POMDP's. 3308-3314 - Benito van der Zander, Maciej Liskiewicz:
Separators and Adjustment Sets in Markov Equivalent DAGs. 3315-3321 - Shengjia Zhao, Sorathan Chaturapruek, Ashish Sabharwal, Stefano Ermon:
Closing the Gap Between Short and Long XORs for Model Counting. 3322-3329
Technical Papers: Robotics
- Benjamin Burchfiel, Carlo Tomasi, Ronald Parr:
Distance Minimization for Reward Learning from Scored Trajectories. 3330-3336 - Le-le Cao, Kotagiri Ramamohanarao, Fuchun Sun, Hongbo Li, Wen-bing Huang, Zay Maung Maung Aye:
Efficient Spatio-Temporal Tactile Object Recognition with Randomized Tiling Convolutional Networks in a Hierarchical Fusion Strategy. 3337-3345 - Till Hofmann, Tim Niemueller, Jens Claßen, Gerhard Lakemeyer:
Continual Planning in Golog. 3346-3353 - Juan Pablo Mendoza, Joydeep Biswas, Philip Cooksey, Richard Wang, Steven D. Klee, Danny Zhu, Manuela M. Veloso:
Selectively Reactive Coordination for a Team of Robot Soccer Champions. 3354-3360 - Peter Ondruska, Ingmar Posner:
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks. 3361-3368
Technical Papers: Search and Constraint Satisfaction
- Vaishak Belle, Guy Van den Broeck, Andrea Passerini:
Component Caching in Hybrid Domains with Piecewise Polynomial Densities. 3369-3375 - Clément Carbonnel:
The Meta-Problem for Conservative Mal'tsev Constraints. 3376-3382 - Diego de Uña, Graeme Gange, Peter Schachte, Peter J. Stuckey:
Steiner Tree Problems with Side Constraints Using Constraint Programming. 3383-3389 - Sylvain Ducomman, Hadrien Cambazard, Bernard Penz:
Alternative Filtering for the Weighted Circuit Constraint: Comparing Lower Bounds for the TSP and Solving TSPTW. 3390-3396 - Alexandre Fréchette, Lars Kotthoff, Tomasz P. Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown:
Using the Shapley Value to Analyze Algorithm Portfolios. 3397-3403 - Éric Grégoire, Yacine Izza, Jean-Marie Lagniez:
On the Extraction of One Maximal Information Subset That Does Not Conflict with Multiple Contexts. 3404-3410 - Robert C. Holte, Ariel Felner, Guni Sharon, Nathan R. Sturtevant:
Bidirectional Search That Is Guaranteed to Meet in the Middle. 3411-3417 - Jimmy H. M. Lee, Zichen Zhu:
Breaking More Composition Symmetries Using Search Heuristics. 3418-3425 - Jimmy H. M. Lee, Christian Schulte, Zichen Zhu:
Increasing Nogoods in Restart-Based Search. 3426-3433 - Jia Hui Liang, Vijay Ganesh, Pascal Poupart, Krzysztof Czarnecki:
Exponential Recency Weighted Average Branching Heuristic for SAT Solvers. 3434-3440 - Gilles Pesant:
Counting-Based Search for Constraint Optimization Problems. 3441-3448
Technical Papers: Vision
- Hessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi:
Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects. 3449-3456 - Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu, Qingfu Wen:
Deep Quantization Network for Efficient Image Retrieval. 3457-3463 - Xiaojun Chang, Yi Yang, Guodong Long, Chengqi Zhang, Alexander G. Hauptmann:
Dynamic Concept Composition for Zero-Example Event Detection. 3464-3470 - Zhen Dong, Su Jia, Tianfu Wu, Mingtao Pei:
Face Video Retrieval via Deep Learning of Binary Hash Representations. 3471-3477 - Mohamed Elhoseiny, Jingen Liu, Hui Cheng, Harpreet S. Sawhney, Ahmed M. Elgammal:
Zero-Shot Event Detection by Multimodal Distributional Semantic Embedding of Videos. 3478-3486 - Chuang Gan, Ming C. Lin, Yi Yang, Gerard de Melo, Alexander G. Hauptmann:
Concepts Not Alone: Exploring Pairwise Relationships for Zero-Shot Video Activity Recognition. 3487- - Yuchen Guo, Guiguang Ding, Xiaoming Jin, Jianmin Wang:
Transductive Zero-Shot Recognition via Shared Model Space Learning. 3434-3500 - Pan He, Weilin Huang, Yu Qiao, Chen Change Loy, Xiaoou Tang:
Reading Scene Text in Deep Convolutional Sequences. 3501-3508 - Rein Houthooft, Cedric De Boom, Stijn Verstichel, Femke Ongenae, Filip De Turck:
Structured Output Prediction for Semantic Perception in Autonomous Vehicles. 3509-3515 - Xiangyu Kong, Yizhou Wang, Tao Xiang:
Robust Complex Behaviour Modeling at 90Hz. 3516-3522 - Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal:
Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach. 3523-3529 - Marius Leordeanu, Alexandra Radu, Shumeet Baluja, Rahul Sukthankar:
Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision. 3530-3538 - Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas:
Decentralized Robust Subspace Clustering. 3539-3545 - Jiongxin Liu, Yinxiao Li, Peter K. Allen, Peter N. Belhumeur:
Articulated Pose Estimation Using Hierarchical Exemplar-Based Models. 3546-3552 - Xiaobai Liu:
Multi-View 3D Human Tracking in Crowded Scenes. 3553-3559 - Ping Luo, Zhenyao Zhu, Ziwei Liu, Xiaogang Wang, Xiaoou Tang:
Face Model Compression by Distilling Knowledge from Neurons. 3560-3566 - Lin Ma, Zhengdong Lu, Hang Li:
Learning to Answer Questions from Image Using Convolutional Neural Network. 3567-3573 - Alexander Patrick Mathews, Lexing Xie, Xuming He:
SentiCap: Generating Image Descriptions with Sentiments. 3574-3580 - Jimmy S. J. Ren, Yongtao Hu, Yu-Wing Tai, Chuan Wang, Li Xu, Wenxiu Sun, Qiong Yan:
Look, Listen and Learn - A Multimodal LSTM for Speaker Identification. 3581-3587 - Babak Saleh, Ahmed M. Elgammal, Jacob Feldman, Ali Farhadi:
Toward a Taxonomy and Computational Models of Abnormalities in Images. 3588-3596 - Yao-Hung Hubert Tsai, Cheng-An Hou, Wei-Yu Chen, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Domain-Constraint Transfer Coding for Imbalanced Unsupervised Domain Adaptation. 3597-3603 - Chunyu Wang, John Flynn, Yizhou Wang, Alan L. Yuille:
Recognizing Actions in 3D Using Action-Snippets and Activated Simplices. 3604-3610 - Guangrun Wang, Liang Lin, Shengyong Ding, Ya Li, Qing Wang:
DARI: Distance Metric and Representation Integration for Person Verification. 3611-3617 - Jingya Wang, Xiatian Zhu, Shaogang Gong:
Video Semantic Clustering with Sparse and Incomplete Tags. 3618-3624 - Tao Wang, Haibin Ling:
Path Following with Adaptive Path Estimation for Graph Matching. 3625-3631 - Fangting Xia, Jun Zhu, Peng Wang, Alan L. Yuille:
Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features. 3632-3640 - Hao Xiong, Tongliang Liu, Dacheng Tao:
Diversified Dynamical Gaussian Process Latent Variable Model for Video Repair. 3641-3647 - Yang Yang, Zhen Lei, Shifeng Zhang, Hailin Shi, Stan Z. Li:
Metric Embedded Discriminative Vocabulary Learning for High-Level Person Representation. 3648-3654 - Yang Yang, Shengcai Liao, Zhen Lei, Stan Z. Li:
Large Scale Similarity Learning Using Similar Pairs for Person Verification. 3655-3661 - Donghun Yeo, Bohyung Han, Joon Hee Han:
Unsupervised Co-Activity Detection from Multiple Videos Using Absorbing Markov Chain. 3662-3668 - Hanwang Zhang, Na Zhao, Xindi Shang, Huan-Bo Luan, Tat-Seng Chua:
Discrete Image Hashing Using Large Weakly Annotated Photo Collections. 3669-3675 - Chao Zhu, Yuxin Peng:
Group Cost-Sensitive Boosting for Multi-Resolution Pedestrian Detection. 3676-3682 - Fan Zhu, Jin Xie, Yi Fang:
Learning Cross-Domain Neural Networks for Sketch-Based 3D Shape Retrieval. 3683-3689 - Guibo Zhu, Jinqiao Wang, Yi Wu, Xiaoyu Zhang, Hanqing Lu:
MC-HOG Correlation Tracking with Saliency Proposal. 3690-3696 - Wentao Zhu, Cuiling Lan, Junliang Xing, Wenjun Zeng, Yanghao Li, Li Shen, Xiaohui Xie:
Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks. 3697-3704
Special Track on Cognitive Systems
- Satabdi Basu, Gautam Biswas, John S. Kinnebrew:
Using Multiple Representations to Simultaneously Learn Computational Thinking and Middle School Science. 3705-3711 - Michael T. Cox, Zohreh Alavi, Dustin Dannenhauer, Vahid Eyorokon, Hector Muñoz-Avila, Don Perlis:
MIDCA: A Metacognitive, Integrated Dual-Cycle Architecture for Self-Regulated Autonomy. 3712-3718 - Andrew S. Gordon:
Commonsense Interpretation of Triangle Behavior. 3719-3725 - Kazjon Grace, Mary Lou Maher:
Surprise-Triggered Reformulation of Design Goals. 3726-3732 - Yedid Hoshen, Shmuel Peleg:
Visual Learning of Arithmetic Operation. 3733-3739 - Peter M. Krafft, Chris L. Baker, Alex Pentland, Joshua B. Tenenbaum:
Modeling Human Ad Hoc Coordination. 3740-3746 - Abhijit Mishra, Diptesh Kanojia, Pushpak Bhattacharyya:
Predicting Readers' Sarcasm Understandability by Modeling Gaze Behavior. 3747-3753 - Ryo Nakahashi, Chris L. Baker, Joshua B. Tenenbaum:
Modeling Human Understanding of Complex Intentional Action with a Bayesian Nonparametric Subgoal Model. 3754-3760 - Gustavo H. Paetzold, Lucia Specia:
Unsupervised Lexical Simplification for Non-Native Speakers. 3761-3767 - Shourya Roy, Ragunathan Mariappan, Sandipan Dandapat, Saurabh Srivastava, Sainyam Galhotra, Balaji Peddamuthu:
QART: A System for Real-Time Holistic Quality Assurance for Contact Center Dialogues. 3768-3775 - Iulian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron C. Courville, Joelle Pineau:
Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models. 3776-3784
Special Track on Computational Sustainability
- Lucas Agussurja, Hoong Chuin Lau, Shih-Fen Cheng:
Achieving Stable and Fair Profit Allocation with Minimum Subsidy in Collaborative Logistics. 3785-3792 - Pramod Anantharam, Krishnaprasad Thirunarayan, Surendra Marupudi, Amit P. Sheth, Tanvi Banerjee:
Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations. 3793-3799 - Sambaran Bandyopadhyay, Ramasuri Narayanam, Pratyush Kumar, Sarvapali D. Ramchurn, Vijay Arya, Iskandarbin Petra:
An Axiomatic Framework for Ex-Ante Dynamic Pricing Mechanisms in Smart Grid. 3800-3806 - Forrest Briggs, Xiaoli Z. Fern, Raviv Raich, Matthew Betts:
Multi-Instance Multi-Label Class Discovery: A Computational Approach for Assessing Bird Biodiversity. 3807-3813 - Zhiguang Cao, Hongliang Guo, Jie Zhang, Ulrich Fastenrath:
Multiagent-Based Route Guidance for Increasing the Chance of Arrival on Time. 3814-3820 - Soumyadeep Chatterjee, Stefan Liess, Arindam Banerjee, Vipin Kumar:
Understanding Dominant Factors for Precipitation over the Great Lakes Region. 3821-3827 - Kai Fan, Chunyuan Li, Katherine A. Heller:
A Unifying Variational Inference Framework for Hierarchical Graph-Coupled HMM with an Application to Influenza Infection. 3828-3834 - Lingzi Hong, Enrique Frías-Martínez, Vanessa Frías-Martínez:
Topic Models to Infer Socio-Economic Maps. 3835-3841 - Timon V. Kanters, Frans A. Oliehoek, Michael Kaisers, Stan R. van den Bosch, Joep Grispen, Jeroen Hermans:
Energy- and Cost-Efficient Pumping Station Control. 3842-3848 - Akshat Kumar:
Shortest Path Based Decision Making Using Probabilistic Inference. 3849-3856 - Akshat Kumar, Arambam James Singh, Pradeep Varakantham, Daniel Sheldon:
Robust Decision Making for Stochastic Network Design. 3857-3863 - Kanal Kumar, Julia Romanski, Pascal Van Hentenryck:
Optimizing Infrastructure Enhancements for Evacuation Planning. 3864-3870 - Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Junchi Yan, Xiaobin Zhu, Qingshan Liu, Xin Zhang:
Spatially Regularized Streaming Sensor Selection. 3871-3879 - Sara Marie McCarthy, Milind Tambe, Christopher Kiekintveld, Meredith L. Gore, Alex Killion:
Preventing Illegal Logging: Simultaneous Optimization of Resource Teams and Tactics for Security. 3880-3886 - Ankit Pat, Kate Larson, Srinivasen Keshav:
Big-Data Mechanisms and Energy-Policy Design. 3887-3893 - Julia Romanski, Pascal Van Hentenryck:
Benders Decomposition for Large-Scale Prescriptive Evacuations. 3894-3900 - Ransalu Senanayake, Simon Timothy O'Callaghan, Fabio Ramos:
Predicting Spatio-Temporal Propagation of Seasonal Influenza Using Variational Gaussian Process Regression. 3901-3907 - Tommaso Urli, Jana Brotánková, Philip Kilby, Pascal Van Hentenryck:
Intelligent Habitat Restoration Under Uncertainty. 3908-3914 - John K. Williams, Peter P. Neilley, Joseph P. Koval, Jeff McDonald:
Adaptable Regression Method for Ensemble Consensus Forecasting. 3915-3921 - XiaoJian Wu, Daniel Sheldon, Shlomo Zilberstein:
Optimizing Resilience in Large Scale Networks. 3922-3928 - Sang Michael Xie, Neal Jean, Marshall Burke, David B. Lobell, Stefano Ermon:
Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping. 3929-3935 - Alexandros Zenonos, Sebastian Stein, Nicholas R. Jennings:
An Algorithm to Coordinate Measurements Using Stochastic Human Mobility Patterns in Large-Scale Participatory Sensing Settings. 3936-3943
Special Track on Integrated AI Capabilities
- Peng Dai, Femida Gwadry-Sridhar, Michael Bauer, Michael Borrie:
Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer's Disease. 3944-3950 - Goren Gordon, Samuel Spaulding, Jacqueline Kory Westlund, Jin Joo Lee, Luke Plummer, Marayna Martinez, Madhurima Das, Cynthia Breazeal:
Affective Personalization of a Social Robot Tutor for Children's Second Language Skills. 3951-3957 - Tom Williams, Matthias Scheutz:
A Framework for Resolving Open-World Referential Expressions in Distributed Heterogeneous Knowledge Bases. 3958-3965
Innovative Applications Deployed Papers
- Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe, Andrew Lemieux:
Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security. 3966-3973 - Nestor Rychtyckyj, Venkatesh Raman, Baskaran Sankaranarayanan, P. Sreenivasa Kumar, Deepak Khemani:
Ontology Re-Engineering: A Case Study from the Automotive Industry. 3974-3981 - Adam Sadilek, Henry A. Kautz, Lauren DiPrete, Brian Labus, Eric Portman, Jack Teitel, Vincent Silenzio:
Deploying nEmesis: Preventing Foodborne Illness by Data Mining Social Media. 3982-3990
Innovative Applications Emerging Application Papers
- Sweewarman Balachandran, Ella M. Atkins:
An Autonomous Override System to Prevent Airborne Loss of Control. 3991-3996 - Cornelia Caragea, Jian Wu, Sujatha Das Gollapalli, C. Lee Giles:
Document Type Classification in Online Digital Libraries. 3997-4002 - Amir Elmishali, Roni Stern, Meir Kalech:
Data-Augmented Software Diagnosis. 4003-4009 - Arnaud Gotlieb, Mats Carlsson, Marius Liaaen, Dusica Marijan, Alexandre Petillon:
Automated Regression Testing Using Constraint Programming. 4010-4015 - Pejman Khadivi, Naren Ramakrishnan:
Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage Behavior. 4016-4021 - Alan Kinsella, Alan F. Smeaton, Barry Hurley, Barry O'Sullivan, Helmut Simonis:
Optimizing Energy Costs in a Zinc and Lead Mine. 4022-4027 - Abha Moitra, Ravi Palla, Arvind Rangarajan:
Automated Capture and Execution of Manufacturability Rules Using Inductive Logic Programming. 4028-4034 - Kishore Neppalli, Cornelia Caragea, Robin Mayes, Kim Nimon, Fred Oswald:
MetaSeer.STEM: Towards Automating Meta-Analyses. 4035-4040 - John Robertson, Vivin Paliath, Jana Shakarian, Amanda Thart, Paulo Shakarian:
Data Driven Game Theoretic Cyber Threat Mitigation. 4041-4046 - Ronny Shalev, Daisuke Nakamura, Setsu Nishino, Andrew M. Rollins, Hiram G. Bezerra, David L. Wilson, Soumya Ray:
Automated Volumetric Intravascular Plaque Classification Using Optical Coherence Tomography (OCT). 4047-4052 - Mai Winstrup:
A Hidden Markov Model Approach to Infer Timescales for High-Resolution Climate Archives. 4053-4061
Innovative Applications Challenge Problem Papers
- Han Yu, Chunyan Miao, Zhiqi Shen, Jun Lin, Cyril Leung, Qiang Yang:
Infusing Human Factors into Algorithmic Crowdsourcing. 4062-4064
EAAI Symposium Full Paper
- Robert Arrington, Clay Langley, Steven A. Bogaerts:
Using Domain Knowledge to Improve Monte-Carlo Tree Search Performance in Parameterized Poker Squares. 4065-4070 - Karo Castro-Wunsch, William Maga, Calin Anton:
BeeMo, a Monte Carlo Simulation Agent for Playing Parameterized Poker Squares. 4071-4074 - G. Devi, Charu Chauhan, Sutanu Chakraborti:
Conceptualizing Curse of Dimensionality with Parallel Coordinates. 4075- - Yolanda Gil:
Teaching Big Data Analytics Skills with Intelligent Workflow Systems. 3997-4088 - Ashok K. Goel, David A. Joyner:
Design of an Online Course on Knowledge-Based AI. 4089-4094 - Todd W. Neller, Colin M. Messinger, Zuozhi Yang:
Learning and Using Hand Abstraction Values for Parameterized Poker Squares. 4095-4100 - Sameer Singh, Sebastian Riedel:
Creating Interactive and Visual Educational Resources for AI. 4101-4106 - Nicole D. Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe:
From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences. 4107-4112 - Lisa Torrey, Karen Johnson, Sid Sondergard, Pedro Ponce, Laura Desmond:
The Turing Test in the Classroom. 4113-4118 - Michael Wollowski, Robert Selkowitz, Laura E. Brown, Ashok K. Goel, George Luger, Jim Marshall, Andrew Neel, Todd W. Neller, Peter Norvig:
A Survey of Current Practice and Teaching of AI. 4119-4125
EAAI Symposium Poster Paper
- Harald Burgsteiner, Martin Kandlhofer, Gerald Steinbauer:
IRobot: Teaching the Basics of Artificial Intelligence in High Schools. 4126-4127 - Raghuram Ramanujan:
A.I. as an Introduction to Research Methods in Computer Science. 4128-4129 - Christian Reotutar, Mbathio Diagne, Evgenii Balai, Edward Wertz, Peter Lee, Shao-Lon Yeh, Yuanlin Zhang:
An Online Logic Programming Development Environment. 4130-4131 - Maritza Reyes, Cynthia Perez, Rocky Upchurch, Timothy T. Yuen, Yuanlin Zhang:
Using Declarative Programming in an Introductory Computer Science Course for High School Students. 4132-4133 - Oscar Veliz, Marcus Gutierrez, Christopher Kiekintveld:
Teaching Automated Strategic Reasoning Using Capstone Tournaments. 4134-4135 - Michael Wollowski:
Training Watson - A Cognitive Systems Course. 4136-4138
EAAI Symposium Model AI Assignments
- Todd W. Neller, Laura E. Brown, James B. Marshall, Lisa Torrey, Nate Derbinsky, Andrew A. Ward, Thomas E. Allen, Judy Goldsmith, Nahom Muluneh:
Model AI Assignments 2016. 4139-4141
Senior Member Blue Sky Papers
- David H. Ackley:
Indefinite Scalability for Living Computation. 4142-4146 - Joshua Greene, Francesca Rossi, John Tasioulas, Kristen Brent Venable, Brian Charles Williams:
Embedding Ethical Principles in Collective Decision Support Systems. 4147-4151 - Don Perlis:
Five Dimensions of Reasoning in the Wild. 4152-4156 - Oliviero Stock, Marco Guerini, Fabio Pianesi:
Ethical Dilemmas for Adaptive Persuasion Systems. 4157-4162
Senior Member Summary Talks
- Jeff Heflin, Dezhao Song:
Ontology Instance Linking: Towards Interlinked Knowledge Graphs. 4163-4169 - Diane J. Litman:
Natural Language Processing for Enhancing Teaching and Learning. 4170-4176 - Toby Walsh:
Strategic Behaviour When Allocating Indivisible Goods. 4177-4183 - Michael J. Wooldridge, Julian Gutierrez, Paul Harrenstein, Enrico Marchioni, Giuseppe Perelli, Alexis Toumi:
Rational Verification: From Model Checking to Equilibrium Checking. 4184-4191
Student Abstracts
- Ofra Amir, Barbara J. Grosz, Krzysztof Z. Gajos:
MIP-Nets: Enabling Information Sharing in Loosely-Coupled Teamwork. 4192-4193 - Hiromasa Arai, Ke Xu, Crystal Maung, Haim Schweitzer:
Weighted A* Algorithms for Unsupervised Feature Selection with Provable Bounds on Suboptimality. 4194-4195 - Anjon Basak:
Abstraction Using Analysis of Subgames. 4196-4197 - Muthukumaran Chandrasekaran, Yingke Chen, Prashant Doshi:
Bayesian Markov Games with Explicit Finite-Level Types. 4198-4199 - Peng Cheng, Ivan Lee, Li Li, Kuo-Kun Tseng, Jeng-Shyang Pan:
BRBA: A Blocking-Based Association Rule Hiding Method. 4200-4201 - Danuta Sorina Chisca, Mohamed Siala, Gilles Simonin, Barry O'Sullivan:
A CP-Based Approach for Popular Matching. 4202-4203 - Moinul Morshed Porag Chowdhury:
Predicting Prices in the Power TAC Wholesale Energy Market. 4204-4205 - Sam Dietrich, Kyle Lund, James C. Boerkoel:
Robust Execution Strategies for Probabilistic Temporal Planning. 4206-4207 - Tyler M. Frasca, Antonio G. Sestito, Craig Versek, Douglas E. Dow, Barry C. Husowitz, Nate Derbinsky:
A Comparison of Supervised Learning Algorithms for Telerobotic Control Using Electromyography Signals. 4208-4211 - Varun Gangal, Abhishek Narwekar, Balaraman Ravindran, Ramasuri Narayanam:
Trust and Distrust Across Coalitions: Shapley Value Based Centrality Measures for Signed Networks (Student Abstract Version). 4212- - Zhenhao Ge, Yufang Sun, Mark J. T. Smith:
Authorship Attribution Using a Neural Network Language Model. 4212-4213 - Shuchu Han, Hong Qin:
Structure Aware L1 Graph for Data Clustering. 4214-4215 - Charmgil Hong, Milos Hauskrecht:
Multivariate Conditional Outlier Detection and Its Clinical Application. 4216-4217 - Heejin Jeong, Daniel D. Lee:
Learning Complex Stand-Up Motion for Humanoid Robots. 4218-4219 - Md. Abdul Kader, Sheikh Motahar Naim, Arnold P. Boedihardjo, Mahmud Shahriar Hossain:
Connecting the Dots Using Contextual Information Hidden in Text and Images. 4220-4221 - Bilal Kartal, Ernesto Nunes, Julio Godoy, Maria L. Gini:
Monte Carlo Tree Search for Multi-Robot Task Allocation. 4222-4223 - Denys Katerenchuk, Andrew Rosenberg:
Hierarchy Prediction in Online Communities. 4224-4225 - Bopeng Li, Sougata Chaudhuri, Ambuj Tewari:
Handling Class Imbalance in Link Prediction Using Learning to Rank Techniques. 4226-4227 - Manling Li, Yantao Jia, Yuanzhuo Wang, Zeya Zhao, Xueqi Cheng:
Predicting Links and Their Building Time: A Path-Based Approach. 4228-4229 - Xin Li, Yanghui Rao, Yanjia Chen, Xuebo Liu, Huan Huang:
Social Emotion Classification via Reader Perspective Weighted Model. 4230-4231 - Jiang Liu, Chenqiang Gao, Deyu Meng, Wangmeng Zuo:
Two-Stream Contextualized CNN for Fine-Grained Image Classification. 4232-4233 - Mazen Melibari, Pascal Poupart, Prashant Doshi:
Decision Sum-Product-Max Networks. 4234-4235 - Shuai Mi, Xiaozhao Zhao, Yuexian Hou, Peng Zhang, Wenjie Li, Dawei Song:
Iterative Project Quasi-Newton Algorithm for Training RBM. 4236-4237 - Atena M. Tabakhi:
Pseudo-Tree Construction Heuristics for DCOPs with Variable Communication Times. 4238-4239 - Kyeong-Min Nam, Yu-Seop Kim:
A Word Embedding and a Josa Vector for Korean Unsupervised Semantic Role Induction. 4240-4241 - Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe:
Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm. 4242-4243 - Kaneharu Nishino, Mary Inaba:
Bayesian AutoEncoder: Generation of Bayesian Networks with Hidden Nodes for Features. 4244-4245 - Erin Paeng, Jane Wu, James C. Boerkoel:
Human-Robot Trust and Cooperation Through a Game Theoretic Framework. 4246-4247 - Zhengxiang Pan, Han Yu, Chunyan Miao, Cyril Leung:
Efficient Collaborative Crowdsourcing. 4248-4249 - Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
SPAN: Understanding a Question with Its Support Answers. 4250-4251 - Dominik Peters:
Towards Structural Tractability in Hedonic Games. 4252-4253 - Wiktor Mateusz Piotrowski, Maria Fox, Derek Long, Daniele Magazzeni, Fabio Mercorio:
Heuristic Planning for Hybrid Systems. 4254-4255 - Fuan Pu, Jian Luo, Guiming Luo:
Counter-Transitivity in Argument Ranking Semantics. 4256-4257 - Amirmohammad Rooshenas, Daniel Lowd:
Discriminative Structure Learning of Arithmetic Circuits. 4258-4259 - Enrico Santus, Alessandro Lenci, Tin-Shing Chiu, Qin Lu, Chu-Ren Huang:
Unsupervised Measure of Word Similarity: How to Outperform Co-Occurrence and Vector Cosine in VSMs. 4260-4261 - Enrico Santus, Alessandro Lenci, Tin-Shing Chiu, Qin Lu, Chu-Ren Huang:
ROOT13: Spotting Hypernyms, Co-Hyponyms and Randoms. 4262-4263 - Shawn Squire, Marie desJardins:
Abstracting Complex Domains Using Modular Object-Oriented Markov Decision Processes. 4264-4265 - Ashwini Kishore Tonge, Cornelia Caragea:
Image Privacy Prediction Using Deep Features. 4266-4267 - Oscar Samuel Veliz:
Evaluating the Robustness of Game Theoretic Solutions When Using Abstraction. 4268-4269 - Tong Wang, Ping Chen, John Rochford, Jipeng Qiang:
Text Simplification Using Neural Machine Translation. 4270-4271 - Yiqi Wang, Huiying Ma, Nichola Lowe, Maryann Feldman, Charles Schmitt:
Business Event Curation: Merging Human and Automated Approaches. 4272-4273 - Jia Wu, Shirui Pan, Peng Zhang, Xingquan Zhu:
Direct Discriminative Bag Mapping for Multi-Instance Learning. 4274-4275 - Yingxiang Yang, Peter Widhalm, Shounak Athavale, Marta C. González:
Mobility Sequence Extraction and Labeling Using Sparse Cell Phone Data. 4276-4277 - Yingzhen Yang, Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Ding Liu, Honghui Shi, Thomas S. Huang:
Epitomic Image Super-Resolution. 4278-4279 - Yang Yu, Xiaojun Wan:
MicroScholar: Mining Scholarly Information from Chinese Microblogs. 4280-4281 - Michael Zhai, Johnny Tan, Jinho D. Choi:
Intrinsic and Extrinsic Evaluations of Word Embeddings. 4282-4283 - Sicheng Zhao, Hongxun Yao, Wenlong Xie, Xiaolei Jiang:
User-Centric Affective Computing of Image Emotion Perceptions. 4284-4285 - Aakas Zhiyuli, Xun Liang, Xiaoping Zhou:
Learning Structural Features of Nodes in Large-Scale Networks for Link Prediction. 4286-4288
Doctoral Consortium
- Joseph A. Blass:
Interactive Learning and Analogical Chaining for Moral and Commonsense Reasoning. 4289-4290 - Sarah M. Brown:
Machine Learning for Computational Psychology. 4291-4292 - William Curran:
Robust Learning from Demonstration Techniques and Tools. 4293-4294 - Richard G. Freedman:
Integrating Planning and Recognition to Close the Interaction Loop. 4295-4296 - Matthew C. Gombolay:
Apprenticeship Scheduling for Human-Robot Teams. 4297-4298 - Nadin Kökciyan:
Privacy Management in Agent-Based Social Networks. 4299-4300 - Wen-Yu Lee:
Multi-Modal Learning over User-Contributed Content from Cross-Domain Social Media. 4301-4302 - Michael A. Leece:
Unsupervised Learning of HTNs in Complex Adversarial Domains. 4303-4304 - Junyi Jessy Li:
Estimating Text Intelligibility via Information Packaging Analysis. 4305-4306 - Anqi Liu:
Robust Classification under Covariate Shift with Application to Active Learning. 4307-4308 - Clifton James McFate:
Analogical Generalization of Linguistic Constructions. 4309-4310 - Melissa Roemmele:
Writing Stories with Help from Recurrent Neural Networks. 4311-4342 - Somdeb Sarkhel:
Scaling-Up MAP and Marginal MAP Inference in Markov Logic. 4343- - Trevor Sarratt:
Adapting Plans through Communication with Unknown Teammates. 4315-4316 - Amar Viswanathan:
Pragmatic Querying in Heterogeneous Knowledge Graphs. 4317-4318 - Tom Williams:
Architectural Mechanisms for Situated Natural Language Understanding in Uncertain and Open Worlds. 4319-4320 - Sicheng Zhao, Hongxun Yao:
Affective Computing and Applications of Image Emotion Perceptions. 4321-4323
What's Hot Papers
- Joyce Yue Chai, Anoop Sarkar, Rada Mihalcea:
What's Hot in Human Language Technology: Highlights from NAACL HLT 2015. 4324-4326 - Martin Gebser, Marco Maratea, Francesco Ricca:
What's Hot in the Answer Set Programming Competition. 4327-4329 - Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto:
Inductive Logic Programming: Challenges. 4330-4332 - Shimei Pan, Oliver Brdiczka, Giuseppe Carenini, Duen Horng Chau, Per Ola Kristensson:
What's Hot in Intelligent User Interfaces. 4333-4334 - Diego Perez Liebana, Spyridon Samothrakis, Julian Togelius, Tom Schaul, Simon M. Lucas:
General Video Game AI: Competition, Challenges and Opportunities. 4335-4337 - Jochen Renz, Xiaoyu Ge, Rohan Verma, Peng Zhang:
Angry Birds as a Challenge for Artificial Intelligence. 4338-4339 - Roni Stern, Levi H. S. Lelis:
What's Hot in Heuristic Search. 4340-4342 - Michal Stolba, Antonín Komenda, Daniel L. Kovacs:
Competition of Distributed and Multiagent Planners (CoDMAP). 4343-4345 - Peter Stone:
What's Hot at RoboCup. 4346-4348
Demonstration Papers
- Mehul Bhatt, Jakob Suchan, Carl Schultz, Vasiliki Kondyli, Saurabh Goyal:
Artificial Intelligence for Predictive and Evidence Based Architecture Design. 4349-4350 - Ioannis Caragiannis, George A. Krimpas, Marianna Panteli, Alexandros A. Voudouris:
co-rank: An Online Tool for Collectively Deciding Efficient Rankings Among Peers. 4351-4352