Papers
A Small World Threshold for Economic Network Formation
Eyal Even-dar, Michael Kearns
Single Channel Speech Separation Using Factorial Dynamics
John R. Hershey, Trausti Kristjansson, Steven Rennie et al.
Learning annotated hierarchies from relational data
Daniel M. Roy, Charles Kemp, Vikash K. Mansinghka et al.
Comparative Gene Prediction using Conditional Random Fields
Jade P. Vinson, David Decaprio, Matthew D. Pearson et al.
Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural Prosthesis
Amit Gore, Shantanu Chakrabartty
On Transductive Regression
Corinna Cortes, Mehryar Mohri
Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models
Mark Johnson, Thomas L. Griffiths, Sharon Goldwater
Automated Hierarchy Discovery for Planning in Partially Observable Environments
Laurent Charlin, Pascal Poupart, Romy Shioda
Temporal dynamics of information content carried by neurons in the primary visual cortex
Danko Nikolić, Stefan Haeusler, Wolf Singer et al.
Optimal Change-Detection and Spiking Neurons
Angela J. Yu
Greedy Layer-Wise Training of Deep Networks
Yoshua Bengio, Pascal Lamblin, Dan Popovici et al.
Part-based Probabilistic Point Matching using Equivalence Constraints
Graham Mcneill, Sethu Vijayakumar
Handling Advertisements of Unknown Quality in Search Advertising
Sandeep Pandey, Christopher Olston
Bayesian Policy Gradient Algorithms
Mohammad Ghavamzadeh, Yaakov Engel
Convergence of Laplacian Eigenmaps
Mikhail Belkin, Partha Niyogi
Stability of K-Means Clustering
Alexander Rakhlin, Andrea Caponnetto
Dirichlet-Enhanced Spam Filtering based on Biased Samples
Steffen Bickel, Tobias Scheffer
Subordinate class recognition using relational object models
Aharon B. Hillel, Daphna Weinshall
Dynamic Foreground/Background Extraction from Images and Videos using Random Patches
Le Lu, Gregory D. Hager
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation
Yee W. Teh, David Newman, Max Welling
Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds
Gloria Haro, Gregory Randall, Guillermo Sapiro
A Scalable Machine Learning Approach to Go
Lin Wu, Pierre F. Baldi
Doubly Stochastic Normalization for Spectral Clustering
Ron Zass, Amnon Shashua
Graph-Based Visual Saliency
Jonathan Harel, Christof Koch, Pietro Perona