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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals JMLR 2006
Unified Inverse Depth Parametrization for Monocular SLAM RSS 2006
The Identity Management Kalman Filter (IMKF) RSS 2006
A Bayes Optimal Approach for Partitioning the Values of Categorical Attributes JMLR 2005
Variational Message Passing JMLR 2005
Denoising Source Separation JMLR 2005
Discriminative Training of Kalman Filters RSS 2005
Learning Hidden Variable Networks: The Information Bottleneck Approach JMLR 2005
Expectation Consistent Approximate Inference JMLR 2005
Asymptotic Model Selection for Naive Bayesian Networks JMLR 2005
Assessing Approximate Inference for Binary Gaussian Process Classification JMLR 2005
A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior JMLR 2005
Lossless Online Bayesian Bagging JMLR 2004
Model Averaging for Prediction with Discrete Bayesian Networks JMLR 2004
Latent Dirichlet Allocation JMLR 2003
An Approximate Analytical Approach to Resampling Averages JMLR 2003
Combining Knowledge from Different Sources in Causal Probabilistic Models 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