Papers
Kernel Bayes' Rule
Kenji Fukumizu, Le Song, Arthur Gretton
Kernel Belief Propagation
Le Song, Arthur Gretton, Danny Bickson et al.
Kernel Embeddings of Latent Tree Graphical Models
Le Song, Eric P. Xing, Ankur P. Parikh
Kernel Regression in the Presence of Correlated Errors
Kris De Brabanter, Jos De Brabanter, Johan A.K. Suykens et al.
Kinematic Cartography for Locomotion at Low Reynolds Numbers
Ross Hatton, Howie Choset
k-NN Regression Adapts to Local Intrinsic Dimension
Samory Kpotufe
Laplacian Support Vector Machines Trained in the Primal
Stefano Melacci, Mikhail Belkin
Large Margin Hierarchical Classification with Mutually Exclusive Class Membership
Huixin Wang, Xiaotong Shen, Wei Pan
Large-Scale Category Structure Aware Image Categorization
Bin Zhao, Fei Li, Eric P. Xing
Large-Scale Sparse Principal Component Analysis with Application to Text Data
Youwei Zhang, Laurent E. Ghaoui
Learning a Distance Metric from a Network
Blake Shaw, Bert Huang, Tony Jebara
Learning Anchor Planes for Classification
Ziming Zhang, Lubor Ladicky, Philip Torr et al.
Learning a Robust Relevance Model for Search Using Kernel Methods
Wei Wu, Jun Xu, Hang Li et al.
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 Eigenvectors for Free
Wouter M. Koolen, Wojciech Kotlowski, Manfred K. Warmuth
Learning from Partial Labels
Timothee Cour, Ben Sapp, Ben Taskar
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