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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Conditional mean field NIPS 2006

A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems NIPS 2006

Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis JMLR 2006

Expectation Consistent Approximate Inference JMLR 2005

Asymptotic Model Selection for Naive Bayesian Networks JMLR 2005

Learning Hidden Variable Networks: The Information Bottleneck Approach JMLR 2005

A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior JMLR 2005

Assessing Approximate Inference for Binary Gaussian Process Classification JMLR 2005

Discriminative Training of Kalman Filters RSS 2005

A Bayes Optimal Approach for Partitioning the Values of Categorical Attributes JMLR 2005

Denoising Source Separation JMLR 2005

Variational Message Passing JMLR 2005

Model Averaging for Prediction with Discrete Bayesian Networks JMLR 2004

Lossless Online Bayesian Bagging JMLR 2004

Combining Knowledge from Different Sources in Causal Probabilistic Models JMLR 2003

Latent Dirichlet Allocation JMLR 2003

An Approximate Analytical Approach to Resampling Averages JMLR 2003

A Unified Framework for Model-based Clustering JMLR 2003

Comparing Bayes Model Averaging and Stacking When Model Approximation Error Cannot be Ignored JMLR 2003

Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components JMLR 2002

Sparse Bayesian Learning and the Relevance Vector Machine JMLR 2001