Papers
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
A Bayesian Approach to Diffusion Models of Decision-Making and Response Time
Michael D. Lee, Ian G. Fuss, Daniel J. Navarro
Attentional Processing on a Spike-Based VLSI Neural Network
Yingxue Wang, Rodney J. Douglas, Shih-Chii Liu
A Probabilistic Algorithm Integrating Source Localization and Noise Suppression of MEG and EEG data
Johanna M. Zumer, Hagai T. Attias, Kensuke Sekihara et al.
Information Bottleneck for Non Co-Occurrence Data
Yevgeny Seldin, Noam Slonim, Naftali Tishby
Recursive Attribute Factoring
David Cohn, Deepak Verma, Karl Pfleger
Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints
Carla P. Gomes, Ashish Sabharwal, Bart Selman
Statistical Modeling of Images with Fields of Gaussian Scale Mixtures
Siwei Lyu, Eero P. Simoncelli
Tighter PAC-Bayes Bounds
Amiran Ambroladze, Emilio Parrado-hernández, John S. Shawe-taylor
Active learning for misspecified generalized linear models
Francis R. Bach
Learning Nonparametric Models for Probabilistic Imitation
David B. Grimes, Daniel R. Rashid, Rajesh P. Rao