Papers
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
Non-rigid point set registration: Coherent Point Drift
Andriy Myronenko, Xubo Song, Miguel Á. Carreira-Perpiñán
Large-Scale Sparsified Manifold Regularization
Ivor W. Tsang, James T. Kwok
Particle Filtering for Nonparametric Bayesian Matrix Factorization
Frank Wood, Thomas L. Griffiths
Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks
Alexis Battle, Gal Chechik, Daphne Koller
A Local Learning Approach for Clustering
Mingrui Wu, Bernhard Schölkopf
Logistic Regression for Single Trial EEG Classification
Ryota Tomioka, Kazuyuki Aihara, Klaus-Robert Müller
Isotonic Conditional Random Fields and Local Sentiment Flow
Yi Mao, Guy Lebanon
Bayesian Model Scoring in Markov Random Fields
Sridevi Parise, Max Welling
Hierarchical Dirichlet Processes with Random Effects
Seyoung Kim, Padhraic Smyth
A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments
Daniel J. Navarro, Thomas L. Griffiths
Temporal Coding using the Response Properties of Spiking Neurons
Thomas Voegtlin
Approximate Correspondences in High Dimensions
Kristen Grauman, Trevor Darrell
Efficient sparse coding algorithms
Honglak Lee, Alexis Battle, Rajat Raina et al.
Online Clustering of Moving Hyperplanes
René Vidal
Accelerated Variational Dirichlet Process Mixtures
Kenichi Kurihara, Max Welling, Nikos Vlassis