Bayesian Inference
6,267 papers
Papers per year
2
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6
4
11
53
56
63
64
104
109
129
201
218
177
229
285
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512
544
613
573
658
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124
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Papers
Learning Hidden Variable Networks: The Information Bottleneck Approach
JMLR 2005
Local Propagation in Conditional Gaussian Bayesian Networks
JMLR 2005
Variational Message Passing
JMLR 2005
Exact Bayesian Structure Discovery in Bayesian Networks
JMLR 2004
Large-Sample Learning of Bayesian Networks is NP-Hard
JMLR 2004
Lossless Online Bayesian Bagging
JMLR 2004
Model Averaging for Prediction with Discrete Bayesian Networks
JMLR 2004
An Approximate Analytical Approach to Resampling Averages
JMLR 2003
A Unified Framework for Model-based Clustering
JMLR 2003
Combining Knowledge from Different Sources in Causal Probabilistic Models
JMLR 2003
Comparing Bayes Model Averaging and Stacking When Model Approximation Error Cannot be Ignored
JMLR 2003
Latent Dirichlet Allocation
JMLR 2003
Optimality of Universal Bayesian Sequence Prediction for General Loss and Alphabet
JMLR 2003
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
JMLR 2002
Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components
JMLR 2002
Bayes Point Machines
JMLR 2001
Sparse Bayesian Learning and the Relevance Vector Machine
JMLR 2001