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Publication search results
found 44 matches
- 2013
- M. Ehsan Abbasnejad, Edwin V. Bonilla, Scott Sanner:
Decision-Theoretic Sparsification for Gaussian Process Preference Learning. ECML/PKDD (2) 2013: 515-530 - Zubin Abraham, Pang-Ning Tan, Perdinan, Julie Winkler, Shiyuan Zhong, Malgorzata Liszewska:
Position Preserving Multi-Output Prediction. ECML/PKDD (2) 2013: 320-335 - Ayan Acharya, Aditya Rawal, Raymond J. Mooney, Eduardo R. Hruschka:
Using Both Latent and Supervised Shared Topics for Multitask Learning. ECML/PKDD (2) 2013: 369-384 - Priyanka Agrawal, Lavanya Sita Tekumalla, Indrajit Bhattacharya:
Nested Hierarchical Dirichlet Process for Nonparametric Entity-Topic Analysis. ECML/PKDD (2) 2013: 564-579 - Ramnath Balasubramanyan, Bhavana Bharat Dalvi, William W. Cohen:
From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering. ECML/PKDD (2) 2013: 628-642 - Rodrigo C. Barros, Ricardo Cerri, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho:
Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions. ECML/PKDD (2) 2013: 385-400 - Matthew B. Blaschko, Wojciech Zaremba, Arthur Gretton:
Taxonomic Prediction with Tree-Structured Covariances. ECML/PKDD (2) 2013: 304-319 - Guido Boella, Luigi Di Caro:
Supervised Learning of Syntactic Contexts for Uncovering Definitions and Extracting Hypernym Relations in Text Databases. ECML/PKDD (2) 2013: 64-79 - Haitham Bou-Ammar, Decebal Constantin Mocanu, Matthew E. Taylor, Kurt Driessens, Karl Tuyls, Gerhard Weiss:
Automatically Mapped Transfer between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines. ECML/PKDD (2) 2013: 449-464 - Konstantinos Bousmalis, Stefanos Zafeiriou, Louis-Philippe Morency, Maja Pantic, Zoubin Ghahramani:
Variational Hidden Conditional Random Fields with Coupled Dirichlet Process Mixtures. ECML/PKDD (2) 2013: 531-547 - Kai-Wei Chang, Vivek Srikumar, Dan Roth:
Multi-core Structural SVM Training. ECML/PKDD (2) 2013: 401-416 - William Darling, Cédric Archambeau, Shachar Mirkin, Guillaume Bouchard:
Error Prediction with Partial Feedback. ECML/PKDD (2) 2013: 80-94 - Julien Delporte, Alexandros Karatzoglou, Tomasz Matuszczyk, Stéphane Canu:
Socially Enabled Preference Learning from Implicit Feedback Data. ECML/PKDD (2) 2013: 145-160 - Sébastien Destercke:
A Pairwise Label Ranking Method with Imprecise Scores and Partial Predictions. ECML/PKDD (2) 2013: 112-127 - Yuxiao Dong, Jie Tang, Tiancheng Lou, Bin Wu, Nitesh V. Chawla:
How Long Will She Call Me? Distribution, Social Theory and Duration Prediction. ECML/PKDD (2) 2013: 16-31 - Kazuto Fukuchi, Jun Sakuma, Toshihiro Kamishima:
Prediction with Model-Based Neutrality. ECML/PKDD (2) 2013: 499-514 - Sheng Gao, Hao Luo, Da Chen, Shantao Li, Patrick Gallinari, Jun Guo:
Cross-Domain Recommendation via Cluster-Level Latent Factor Model. ECML/PKDD (2) 2013: 161-176 - Moisés Goldszmidt, Marc Najork, Stelios Paparizos:
Boot-Strapping Language Identifiers for Short Colloquial Postings. ECML/PKDD (2) 2013: 95-111 - Suriya Gunasekar, Ayan Acharya, Neeraj Gaur, Joydeep Ghosh:
Noisy Matrix Completion Using Alternating Minimization. ECML/PKDD (2) 2013: 194-209 - Yuhong Guo, Dale Schuurmans:
Multi-label Classification with Output Kernels. ECML/PKDD (2) 2013: 417-432 - Amaury Habrard, Jean-Philippe Peyrache, Marc Sebban:
Boosting for Unsupervised Domain Adaptation. ECML/PKDD (2) 2013: 433-448 - Tengfei Ji, Dongqing Yang, Jun Gao:
Incremental Local Evolutionary Outlier Detection for Dynamic Social Networks. ECML/PKDD (2) 2013: 1-15 - Xin Jin, Fuzhen Zhuang, Shuhui Wang, Qing He, Zhongzhi Shi:
Shared Structure Learning for Multiple Tasks with Multiple Views. ECML/PKDD (2) 2013: 353-368 - Deguang Kong, Miao Zhang, Chris H. Q. Ding:
Minimal Shrinkage for Noisy Data Recovery Using Schatten-p Norm Objective. ECML/PKDD (2) 2013: 177-193 - Kleanthis-Nikolaos Kontonasios, Jilles Vreeken, Tijl De Bie:
Maximum Entropy Models for Iteratively Identifying Subjectively Interesting Structure in Real-Valued Data. ECML/PKDD (2) 2013: 256-271 - Chengtao Li, Jianwen Zhang, Zheng Chen:
Structured Output Learning with Candidate Labels for Local Parts. ECML/PKDD (2) 2013: 336-352 - Qing Liao, Qian Zhang:
Efficient Rank-one Residue Approximation Method for Graph Regularized Non-negative Matrix Factorization. ECML/PKDD (2) 2013: 242-255 - Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Fang Chen, Kotagiri Ramamohanarao:
A Bayesian Classifier for Learning from Tensorial Data. ECML/PKDD (2) 2013: 483-498 - Song Liu, John A. Quinn, Michael U. Gutmann, Masashi Sugiyama:
Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation. ECML/PKDD (2) 2013: 596-611 - Dehua Liu, Tengfei Zhou, Hui Qian, Congfu Xu, Zhihua Zhang:
A Nearly Unbiased Matrix Completion Approach. ECML/PKDD (2) 2013: 210-225
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