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Bayesian Learning

455 directly classified papers

Papers per year

Papers

A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation AISTATS 2010
Bayesian variable order Markov models AISTATS 2010
PAC-Bayesian Model Selection for Reinforcement Learning NIPS 2010
Learning the context of a category NIPS 2010
Nonparametric Bayesian Policy Priors for Reinforcement Learning NIPS 2010
Bayesian Nonparametric Models on Decomposable Graphs NIPS 2009
Sequential effects reflect parallel learning of multiple environmental regularities NIPS 2009
An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism NIPS 2009
Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes NIPS 2009
Indian Buffet Processes with Power-law Behavior NIPS 2009
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NIPS 2009
Construction of Nonparametric Bayesian Models from Parametric Bayes Equations NIPS 2009
Hierarchical Learning of Dimensional Biases in Human Categorization NIPS 2009
Multi-Label Prediction via Sparse Infinite CCA NIPS 2009
Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution NIPS 2009
Nonparametric Bayesian Texture Learning and Synthesis NIPS 2009
Sparse Estimation Using General Likelihoods and Non-Factorial Priors NIPS 2009
Modeling the spacing effect in sequential category learning NIPS 2009
Variational Inference for the Nested Chinese Restaurant Process NIPS 2009
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation NIPS 2009
Modelling Relational Data using Bayesian Clustered Tensor Factorization NIPS 2009
Nonparametric Latent Feature Models for Link Prediction NIPS 2009
Sharing Features among Dynamical Systems with Beta Processes NIPS 2009
Adaptive Body Scheme Models for Robust Robotic Manipulation RSS 2008
Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes NIPS 2008