Papers
Catching Change-points with Lasso
Céline Levy-leduc, Zaïd Harchaoui
A neural network implementing optimal state estimation based on dynamic spike train decoding
Omer Bobrowski, Ron Meir, Shy Shoham et al.
Object Recognition by Scene Alignment
Bryan Russell, Antonio Torralba, Ce Liu et al.
Parallelizing Support Vector Machines on Distributed Computers
Kaihua Zhu, Hao Wang, Hongjie Bai et al.
A Bayesian Framework for Cross-Situational Word-Learning
Noah Goodman, Joshua B. Tenenbaum, Michael J. Black
Extending position/phase-shift tuning to motion energy neurons improves velocity discrimination
Yiu M. Lam, Bertram E. Shi
Agreement-Based Learning
Percy Liang, Dan Klein, Michael I. Jordan
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
Sennay Ghebreab, Arnold Smeulders, Pieter Adriaans
Blind channel identification for speech dereverberation using l1-norm sparse learning
Yuanqing Lin, Jingdong Chen, Youngmoo Kim et al.
Fitted Q-iteration in continuous action-space MDPs
András Antos, Csaba Szepesvári, Rémi Munos
Efficient Inference for Distributions on Permutations
Jonathan Huang, Carlos Guestrin, Leonidas Guibas
Density Estimation under Independent Similarly Distributed Sampling Assumptions
Tony Jebara, Yingbo Song, Kapil Thadani
Probabilistic Matrix Factorization
Andriy Mnih, Ruslan Salakhutdinov
Discriminative Keyword Selection Using Support Vector Machines
Fred Richardson, William M. Campbell
A Kernel Statistical Test of Independence
Arthur Gretton, Kenji Fukumizu, Choon H. Teo et al.
Supervised Topic Models
Jon D. Mcauliffe, David M. Blei
Bayesian Co-Training
Shipeng Yu, Balaji Krishnapuram, Harald Steck et al.
Privacy-Preserving Belief Propagation and Sampling
Michael Kearns, Jinsong Tan, Jennifer Wortman
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
Matthias Bethge, Philipp Berens
Gaussian Process Models for Link Analysis and Transfer Learning
Kai Yu, Wei Chu
Boosting Algorithms for Maximizing the Soft Margin
Gunnar Rätsch, Manfred K. Warmuth, Karen A. Glocer
What makes some POMDP problems easy to approximate?
Wee S. Lee, Nan Rong, David Hsu
Comparing Bayesian models for multisensory cue combination without mandatory integration
Ulrik Beierholm, Ladan Shams, Wei J. Ma et al.
Discriminative Batch Mode Active Learning
Yuhong Guo, Dale Schuurmans