Papers
Learning a Tree of Metrics with Disjoint Visual Features
Kristen Grauman, Fei Sha, Sung Ju Hwang
Learning Attribute-weighted Voter Model over Social Networks
Yuki Yamagishi, Kazumi Saito, Kouzou Ohara et al.
Learning Auto-regressive Models from Sequence and Non-sequence Data
Tzu-kuo Huang, Jeff G. Schneider
Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM
Heng Luo, Ruimin Shen, Changyong Niu et al.
Learning Condensed Feature Representations from Large Unsupervised Data Sets for Supervised Learning
Jun Suzuki, Hideki Isozaki, Masaaki Nagata
Learning Dependency-Based Compositional Semantics
Percy Liang, Michael Jordan, Dan Klein
Learning Discriminative Projections for Text Similarity Measures
Wen-tau Yih, Kristina Toutanova, John C. Platt et al.
Learning Eigenvectors for Free
Wouter M. Koolen, Wojciech Kotlowski, Manfred K. Warmuth
Learning from Chinese-English Parallel Data for Chinese Tense Prediction
Feifan Liu, Fei Liu, Yang Liu
Learning From Collective Human Behavior to Introduce Diversity in Lexical Choice
Vahed Qazvinian, Dragomir R. Radev
Learning from Partial Labels
Timothee Cour, Ben Sapp, Ben Taskar
Learning General Connotation of Words using Graph-based Algorithms
Song Feng, Ritwik Bose, Yejin Choi
Learning Hierarchical Translation Structure with Linguistic Annotations
Markos Mylonakis, Khalil Sima’an
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates
Vincent Y.F. Tan, Animashree Anandkumar, Alan S. Willsky
Learning Higher-Order Graph Structure with Features by Structure Penalty
Shilin Ding, Grace Wahba, Xiaojin Zhu
Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint
Kenji Fukumizu, Gert R. Lanckriet, Bharath K. Sriperumbudur
Learning large-margin halfspaces with more malicious noise
Phil Long, Rocco Servedio
Learning Latent Tree Graphical Models
Myung Jin Choi, Vincent Y.F. Tan, Animashree Anandkumar et al.
Learning Logical Structures of Paragraphs in Legal Articles
Ngo Xuan Bach, Nguyen Le Minh, Tran Thi Oanh et al.
Learning low-rank output kernels
Francesco Dinuzzo, Kenji Fukumizu
Learning mixtures of Gaussians with maximum-a-posteriori oracle
Satyaki Mahalanabis
Learning Multi-modal Similarity
Brian McFee, Gert Lanckriet