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ORCIDICMLA 2012: Boca Raton, FL, USA
- 11th International Conference on Machine Learning and Applications, ICMLA, Boca Raton, FL, USA, December 12-15, 2012. Volume 1. IEEE 2012, ISBN 978-1-4673-4651-1
- Steven G. Satterfield, Thomas Reichherzer, John W. Coffey, Eman El-Sheikh:
Application of Structural Case-Based Reasoning to Activity Recognition in Smart Home Environments. 1-6 - Derek Doran, Swapna S. Gokhale:
Detecting Web Robots Using Resource Request Patterns. 7-12 - Marc J. Rubin, Tracy Camp, Alec Van Herwijnen
, Jürg Schweizer:
Automatically Detecting Avalanche Events in Passive Seismic Data. 13-20 - Jian Zhou, Dimitri Semenovich, Arcot Sowmya, Jun Wang:
Sparse Dictionary Reconstruction for Textile Defect Detection. 21-26 - Jawad Nagi, Gianni A. Di Caro, Alessandro Giusti, Farrukh Nagi, Luca Maria Gambardella:
Convolutional Neural Support Vector Machines: Hybrid Visual Pattern Classifiers for Multi-robot Systems. 27-32 - M. Arif Wani:
Introducing Subspace Grids to Recognise Patterns in Multidimensinal Data. 33-39 - Roman V. Yampolskiy, Brendan Klare, Anil K. Jain:
Face Recognition in the Virtual World: Recognizing Avatar Faces. 40-45 - Weifeng Liu, Caifeng Song, Yanjiang Wang:
Subject-Independent Facial Expression Recognition with Biologically Inspired Features. 46-50 - Naiyang Guan, Xiang Zhang, Zhigang Luo, Long Lan:
Sparse Representation Based Discriminative Canonical Correlation Analysis for Face Recognition. 51-56 - Abdallah A. Mohamed, Roman V. Yampolskiy:
Adaptive Extended Local Ternary Pattern (AELTP) for Recognizing Avatar Faces. 57-62 - Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman:
Mean Aggregation versus Robust Rank Aggregation for Ensemble Gene Selection. 63-69 - Antoine Veillard, Stéphane Bressan, Daniel Racoceanu:
SVM-based Framework for the Robust Extraction of Objects from Histopathological Images Using Color, Texture, Scale and Geometry. 70-75 - Utku Sirin, Utku Erdogdu, Mehmet Tan, Faruk Polat, Reda Alhajj:
Effective Enrichment of Gene Expression Data Sets. 76-81 - David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
Determining the Number of Iterations Appropriate for Ensemble Gene Selection on Microarray Data. 82-89 - Baidya Nath Saha, Sriraam Natarajan, Gopi Kota, Christopher T. Whitlow, Donald W. Bowden, Jasmin Divers, Barry I. Freedman, Joseph A. Maldjian:
A Novel Hierarchical Level Set with AR-boost for White Matter Lesion Segmentation in Diabetes. 90-95 - Chiou-Yi Hor, Chang-Biau Yang, Zih-Jie Yang, Chiou-Ting Tseng:
Prediction of Protein Essentiality by the Support Vector Machine with Statistical Tests. 96-101 - Rania Ibrahim, Naglaa Ahmed, Noha A. Yousri, Mohamed A. Ismail:
Incremental Mitosis: Discovering Clusters of Arbitrary Shapes and Densities in Dynamic Data. 102-107 - Rémy Nicolle, Mohamed Elati, François Radvanyi:
Network Transformation of Gene Expression for Feature Extraction. 108-113 - Dingding Wang, Mitsunori Ogihara, Erliang Zeng, Tao Li:
Combining Gene Expression Profiles and Protein-Protein Interactions for Identifying Functional Modules. 114-119 - Gonzalo A. Ruz, Tania Timmermann, Eric Goles Ch.:
Building Synthetic Networks of the Budding Yeast Cell-Cycle Using Swarm Intelligence. 120-125 - Calin Voichita, Michele Donato, Sorin Draghici:
Incorporating Gene Significance in the Impact Analysis of Signaling Pathways. 126-131 - Marika Kästner, David Nebel, Martin Riedel, Michael Biehl, Thomas Villmann:
Differentiable Kernels in Generalized Matrix Learning Vector Quantization. 132-137 - Ngo Anh Vien, Wolfgang Ertel:
Monte Carlo Tree Search for Bayesian Reinforcement Learning. 138-143 - Hamid R. Chinaei, Brahim Chaib-draa:
An Inverse Reinforcement Learning Algorithm for Partially Observable Domains with Application on Healthcare Dialogue Management. 144-149 - Arina Buzdalova, Maxim Buzdalov:
Increasing Efficiency of Evolutionary Algorithms by Choosing between Auxiliary Fitness Functions with Reinforcement Learning. 150-155 - Antoine Veillard, Daniel Racoceanu, Stéphane Bressan:
pRBF Kernels: A Framework for the Incorporation of Task-Specific Properties into Support Vector Methods. 156-161 - Ben Mitchell, John W. Sheppard:
Deep Structure Learning: Beyond Connectionist Approaches. 162-167 - Jeremiah Smith, Luke Dickens, Krysia Broda:
Balancing Public Cycle Sharing Schemes Using Independent Learners. 168-173 - Long Lan, Xuhui Huang, Naiyang Guan, Zhigang Luo, Xiang Zhang:
Semi-supervised Non-negative Patch Alignment Framework. 174-178 - Kleber A. Garcia, Philip K. Chan:
Estimating Hospital Admissions with a Randomized Regression Approach. 179-184 - Xianjing Qin, Yang Liu, Hongbing Lu, Xuelong Li, Pingkun Yan:
Coupled Directional Level Set for MR Image Segmentation. 185-190 - Jun Jiang, Jun Cheng, Haifeng Zhao:
Stereo Matching Based on Random Speckle Projection for Dynamic 3D Sensing. 191-196 - Janusz Wojtusiak:
Semantic Data Types in Machine Learning from Healthcare Data. 197-202 - Sriraam Natarajan, Saket Joshi, Baidya Nath Saha, Adam Edwards, Tushar Khot, Elizabeth Moody, Kristian Kersting, Christopher T. Whitlow, Joseph A. Maldjian:
A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain. 203-208 - Robert Strack, Vojislav Kecman:
Minimal Norm Support Vector Machines for Large Classification Tasks. 209-214 - Qing He, Zhi Dong, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi:
Fast Time Series Classification Based on Infrequent Shapelets. 215-219 - Sauptik Dhar, Vladimir Cherkassky:
Cost-Sensitive Universum-SVM. 220-225 - Yi Mo, Zhaoxiang Zhang, Yunhong Wang:
A Hybrid Transfer Learning Mechanism for Object Classification across View. 226-231 - Haibin Liu, Bo Luo, Dongwon Lee:
Location Type Classification Using Tweet Content. 232-237 - Hongtai Cheng, Heping Chen, Yong Liu:
Topological Indoor Localization & Navigation for Autonomous Industrial Mobile Manipulator. 238-243 - Glaucio Barros Barcelos, Douglas Alexandre Gomes Vieira, Rodney Rezende Saldanha, Luciano Lellis Miranda:
Estimating the Convection Heat Transfer Coefficient of a Run-Out Cooling Table in a Steel-Making Process by Neural Networks. 244-249 - Zaihan Yang, Brian D. Davison:
Writing with Style: Venue Classification. 250-255 - Xianglin Li, Runqiu Guo, Jun Cheng:
Incorporating Incremental and Active Learning for Scene Classification. 256-261 - Muhammad Rushdi, Jeffrey Ho:
Augmented Coupled Dictionary Learning for Image Super-Resolution. 262-267 - Janell Duhaney, Taghi M. Khoshgoftaar, Amri Napolitano:
Studying the Effect of Class Imbalance in Ocean Turbine Fault Data on Reliable State Detection. 268-275 - Yanjiang Wang, Chengna Yuan, Weifeng Liu:
Cellular Differentiation Algorithm for High Dimensional Numerical Function Optimization. 276-280 - Shiming Yang, Konstantinos Kalpakis, Colin F. Mackenzie, Lynn G. Stansbury, Deborah M. Stein, Thomas M. Scalea, Peter Fu-Ming Hu:
Online Recovery of Missing Values in Vital Signs Data Streams Using Low-Rank Matrix Completion. 281-287 - Chathra Hendahewa, Vladimir Pavlovic:
Analysis of Causality in Stock Market Data. 288-293 - Caiyan Dai, Ling Chen, Yixin Chen, Keming Tang:
An Efficient Algorithm for top-k Queries on Uncertain Data Streams. 294-299 - Jie Liang, Mao Lin Huang, Quang Vinh Nguyen:
Perceptual User Study for Combined Treemap. 300-305 - Haythem Balti, Hichem Frigui:
Feature Mapping and Fusion for Music Genre Classification. 306-310 - Yihui Cao, Xuelong Li, Pingkun Yan:
Multi-atlas Based Image Selection with Label Image Constraint. 311-316 - Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano:
An Empirical Study on the Stability of Feature Selection for Imbalanced Software Engineering Data. 317-323 - Salem Alelyani, Huan Liu:
Supervised Low Rank Matrix Approximation for Stable Feature Selection. 324-329 - Janell Duhaney, Taghi M. Khoshgoftaar, Randall Wald:
Applying Feature Selection to Short Time Wavelet Transformed Vibration Data for Reliability Analysis of an Ocean Turbine. 330-337 - Charles Tripp, Ross D. Shachter:
Backtracking for More Efficient Large Scale Dynamic Programming. 338-343 - Salomão Sampaio Madeiro, Fernando J. Von Zuben:
Gradient-Based Algorithms for the Automatic Construction of Fuzzy Cognitive Maps. 344-349 - Erik M. Ferragut, Jason A. Laska:
Randomized Sampling for Large Data Applications of SVM. 350-355 - Jan Chorowski, Jacek M. Zurada:
Obtaining Full Regularization Paths for Robust Sparse Coding with Applications to Face Recognition. 356-361 - Wentao Fan, Nizar Bouguila:
Online Variational Learning for a Dirichlet Process Mixture of Dirichlet Distributions and its Application. 362-367 - Muzaffer Ege Alper, Sule Gündüz Ögüdücü:
Personalized Recommendation in Folksonomies Using a Joint Probabilistic Model of Users, Resources and Tags. 368-373 - Wenjing Zhang, Xin Feng:
Pattern Identification Using Reconstructed Phase Space and Hidden Markov Model. 374-379 - Andrzej Ruta, Fatih Porikli:
Compressive Clustering of High-Dimensional Data. 380-385 - Wesley Jin, Sagar Chaki, Cory F. Cohen, Arie Gurfinkel, Jeffrey Havrilla, Charles Hines, Priya Narasimhan:
Binary Function Clustering Using Semantic Hashes. 386-391 - Malak Alshawabkeh, Alma Riska, Adnan Sahin, Motasem Awwad:
Automated Storage Tiering Using Markov Chain Correlation Based Clustering. 392-397 - Ming Sun, Minh Tang, Carey E. Priebe:
A Comparison of Graph Embedding Methods for Vertex Nomination. 398-403 - Naiyang Guan, Xuhui Huang, Long Lan, Zhigang Luo, Xiang Zhang:
Graph Based Semi-supervised Non-negative Matrix Factorization for Document Clustering. 404-408 - Thashmee Karunaratne, Henrik Boström:
Can Frequent Itemset Mining Be Efficiently and Effectively Used for Learning from Graph Data? 409-414 - Christopher T. Symons, Ranga Raju Vatsavai, Goo Jun, Itamar Arel:
Bias Selection Using Task-Targeted Random Subspaces for Robust Application of Graph-Based Semi-supervised Learning. 415-420 - Shilpa Arora, Pinar Donmez, Eric Nyberg:
Cost-Sensitive Multi-strategy Active Annotation for Text Classification. 421-426 - Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi:
Multi-label Collective Classification Using Adaptive Neighborhoods. 427-432 - Martin Pilát, Roman Neruda:
Meta-learning and Model Selection in Multi-objective Evolutionary Algorithms. 433-438 - Yifeng Li, Alioune Ngom:
Supervised Dictionary Learning via Non-negative Matrix Factorization for Classification. 439-443 - Jiaqi Zhang, Xianchao Zhao, Chenkun Qi:
A Series Inspired CPG Model for Robot Walking Control. 444-447 - Xianchao Zhao, Jiaqi Zhang, Chenkun Qi:
CPG and Reflexes Combined Adaptive Walking Control for AIBO. 448-453 - Atif Khan, John A. Doucette, Robin Cohen, Daniel J. Lizotte:
Integrating Machine Learning Into a Medical Decision Support System to Address the Problem of Missing Patient Data. 454-457 - Jelena Slivka, Ping Zhang, Aleksandar Kovacevic, Zora Konjovic, Zoran Obradovic:
Semi-Supervised Learning on Single-View Datasets by Integration of Multiple Co-trained Classifiers. 458-463 - Fabrício Olivetti de França:
Scalable Overlapping Co-clustering of Word-Document Data. 464-467 - Dawei Li, Lihong Xu, Erik D. Goodman:
Real-Time Statistical Background Learning for Foreground Detection under Unstable Illuminations. 468-472 - Jaime S. Cardoso, Ricardo Gamelas Sousa, Inês Domingues:
Ordinal Data Classification Using Kernel Discriminant Analysis: A Comparison of Three Approaches. 473-477 - Benjamine Nordin, Chenyi Hu, Bernard Chen, Victor S. Sheng:
Interval-Valued Centroids in K-Means Algorithms. 478-481 - Yuanzhi Zhang, Li Zhou, Tao Sun:
A Novel Approach to Detect Smile Expression. 482-487 - Torsten Schön, Martin Stetter, Elmar Wolfgang Lang:
Structure Learning for Bayesian Networks Using the Physarum Solver. 488-493 - Ingo Glöckner, Karl-Heinz Weis:
An Integrated Machine Learning and Case-Based Reasoning Approach to Answer Validation. 494-499 - Arisoa S. Randrianasolo, Larry D. Pyeatt:
Using Local Regression in Monte Carlo Tree Search. 500-503 - Arisoa S. Randrianasolo, Larry D. Pyeatt:
An Artificial Immune System Based on Holland's Classifier as Network Intrusion Detection. 504-507 - Richard McAllister, John Sheppard:
Taxonomic Dimensionality Reduction in Bayesian Text Classification. 508-513 - Anahita Zarei, Duxing Mou:
Artificial Neural Network for Prediction of Ethnicity Based on Iris Texture. 514-519 - Shuangshuang Jiang, Hichem Frigui, Aaron W. Calhoun:
Semantic Indexing of Video Simulations for Enhancing Medical Care During Crises. 520-525 - Mohamed Bouguessa:
Unsupervised Anomaly Detection in Transactional Data. 526-531 - Shuisheng Xie, Jundong Liu, Charles D. Smith:
Riemannian Shape Analysis Based on Meridian Curves. 532-537 - Tiemi C. Sakata, Katti Faceli, Tiago A. Almeida, Antonio Riul Jr., Wanessa M. D. M. F. Steluti:
The Assessment of the Quality of Sugar Using Electronic Tongue and Machine Learning Algorithms. 538-541 - X. Z. Wang, Edith Grall-Maës, Pierre Beauseroy:
A Normalized Criterion of Spatial Clustering in Model-Based Framework. 542-547 - Meena Abdelmaseeh, Pascal Poupart, Benn Smith, Daniel W. Stashuk:
Muscle Categorization Using Quantitative Needle Electromyography: A 2-Stage Gaussian Mixture Model Based Approach. 548-553 - James L. Carroll, Christopher D. Tomkins:
Physics-Based Constraints in the Forward Modeling Analysis of Time-Correlated Image Data. 554-559 - Hao Zhang, Richard E. Edwards, Lynne E. Parker:
Regularized Probabilistic Latent Semantic Analysis with Continuous Observations. 560-563 - Carolina Yukari Veludo Watanabe, Marcela X. Ribeiro, Agma J. M. Traina, Caetano Traina Jr.:
A Statistical Associative Classifier with Automatic Estimation of Parameters on Computer Aided Diagnosis. 564-567 - Ram B. Basnet, Andrew H. Sung:
Mining Web to Detect Phishing URLs. 568-573 - Leonidas Lefakis, François Fleuret:
Macro-action Discovery Based on Change Point Detection and Boosting. 574-577 - Chaker Jebari, M. Arif Wani:
A Multi-label and Adaptive Genre Classification of Web Pages. 578-581 - Yajie Hu, Mitsunori Ogihara:
Identifying Accuracy of Social Tags by Using Clustering Representations of Song Lyrics. 582-585 - Mohamed Abdelaziz Khamis, Walid El-Sayed Ali Gomaa:
Enhanced Multiagent Multi-objective Reinforcement Learning for Urban Traffic Light Control. 586-591 - Raihana Ferdous, Renato Lo Cigno, Alessandro Zorat:
On the Use of SVMs to Detect Anomalies in a Stream of SIP Messages. 592-597 - Manuel Bouillon, Éric Anquetil, Abdullah Almaksour:
Decremental Learning of Evolving Fuzzy Inference Systems Using a Sliding Window. 598-601 - Allou Samé, Gérard Govaert:
Online Time Series Segmentation Using Temporal Mixture Models and Bayesian Model Selection. 602-605 - Tolga Ensari, Jan Chorowski, Jacek M. Zurada:
Occluded Face Recognition Using Correntropy-Based Nonnegative Matrix Factorization. 606-609 - Stefanos Doltsinis, Pedro Ferreira, Niels Lohse:
Reinforcement Learning for Production Ramp-Up: A Q-Batch Learning Approach. 610-615 - Amin Assareh, L. Gwenn Volkert, Jing Li:
Interaction Trees: Optimizing Ensembles of Decision Trees for Gene-Gene Interaction Detections. 616-621 - Jianhua Chen:
Scalable Ensemble Learning by Adaptive Sampling. 622-625 - Andy Hall, Guangzhi Qu, Ishwar K. Sethi, Craig T. Hartrick:
Tensor-Based Temporal Behavior Analysis in Pain Medicine. 626-629 - Hui Li, Chunmei Liu:
Prediction of Protein Structures Using GPU Based Simulated Annealing. 630-633 - Giuliano Armano, Emanuele Tamponi:
Assessing Encoding Techniques through Correlation-Based Metrics. 634-639 - Samuel Smith, Jae Yeon (Claire) Baek, Zhaoyi Kang, Dawn Song, Laurent El Ghaoui, Mario Frank:
Predicting Congressional Votes Based on Campaign Finance Data. 640-645 - Mohamed I. Alkanhal, Ghulam Muhammad:
Polynomial Correlation Filters for Human Face Recognition. 646-650 - Kesav Kancherla, Srinivas Mukkamala:
Block Level Video Steganalysis Scheme. 651-654 - Álvaro Viloria, C. Chang, Maria Corina Pineda Socorro, Jesús Viloria:
Estimation of Susceptibility to Landslides Using Neural Networks Based on the FALCON-ART Model. 655-660 - Y. Labrador, C. Chang, J. Viloria:
Prediction of the Calcium and Magnesium Content in Soils through a Generalized Regression Neural Networks and Genetic Algorithms. 661-666 - Shuo Li, Jean Gao, James O. Nyagilo, Digant P. Dave:
A New Continuum Regression Method for Quantitative Analysis of Raman Spectrum. 667-670 - Simeng Yue, Seiichi Ozawa:
A Sequential Multi-task Learning Neural Network with Metric-Based Knowledge Transfer. 671-674 - Youngmin Ha:
Numerical Solution of Dirichlet Boundary Value Problems for Partial Differential Equations Using Quantum-Behaved Particle Swarm Optimization with Random Gaussian Function. 675-680 - Zaihan Yang, Brian D. Davison:
Venue Recommendation: Submitting Your Paper with Style. 681-686 - Rasool Fakoor, Manfred Huber:
A Sampling-Based Approach to Reducing the Complexity of Continuous State Space POMDPs by Decomposition Into Coupled Perceptual and Decision Processes. 687-692 - Li Liu, Jianming Liu, Jun Cheng:
Age-Group Classification of Facial Images. 693-696 - Tummalapalli Sudhamsh Reddy, Gergely V. Záruba, Manfred Huber:
A Game Theoretic Framework for Communication in Fully Observable Multiagent Systems. 697-702
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