Papers
Kernel Measures of Independence for non-iid Data
Xinhua Zhang, Le Song, Arthur Gretton et al.
Large Margin Taxonomy Embedding for Document Categorization
Kilian Q. Weinberger, Olivier Chapelle
Learning a discriminative hidden part model for human action recognition
Yang Wang, Greg Mori
Learning Bounded Treewidth Bayesian Networks
Gal Elidan, Stephen Gould
Learning Hybrid Models for Image Annotation with Partially Labeled Data
Xuming He, Richard S. Zemel
Learning Taxonomies by Dependence Maximization
Matthew Blaschko, Arthur Gretton
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
Yi Zhang, Artur Dubrawski, Jeff G. Schneider
Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement
Michael T. Todd, Yael Niv, Jonathan D. Cohen
Learning Transformational Invariants from Natural Movies
Charles Cadieu, Bruno A. Olshausen
Learning with Consistency between Inductive Functions and Kernels
Haixuan Yang, Irwin King, Michael Lyu
Linear Classification and Selective Sampling Under Low Noise Conditions
Giovanni Cavallanti, Nicolò Cesa-bianchi, Claudio Gentile
Load and Attentional Bayes
Peter Dayan
Local Gaussian Process Regression for Real Time Online Model Learning
Duy Nguyen-tuong, Jan R. Peters, Matthias Seeger
Localized Sliced Inverse Regression
Qiang Wu, Sayan Mukherjee, Feng Liang
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction
Shay B. Cohen, Kevin Gimpel, Noah A. Smith
Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification
Doug Downey, Oren Etzioni
MAS: a multiplicative approximation scheme for probabilistic inference
Ydo Wexler, Christopher Meek
MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features
Tae-kyun Kim, Roberto Cipolla
MDPs with Non-Deterministic Policies
Mahdi M. Fard, Joelle Pineau
Measures of Clustering Quality: A Working Set of Axioms for Clustering
Shai Ben-David, Margareta Ackerman
Mind the Duality Gap: Logarithmic regret algorithms for online optimization
Shai Shalev-shwartz, Sham M. Kakade
Mixed Membership Stochastic Blockmodels
Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg et al.
Modeling human function learning with Gaussian processes
Thomas L. Griffiths, Chris Lucas, Joseph Williams et al.
Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex
Arno Onken, Steffen Grünewälder, Matthias Munk et al.
Modeling the effects of memory on human online sentence processing with particle filters
Roger P. Levy, Florencia Reali, Thomas L. Griffiths