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An Introduction to Variational Methods for Graphical Models

Machine Learning · 1999 · Vol. 37(2) · pp. 183–233
Michael I. JordanZoubin GhahramaniTommi JaakkolaLawrence K. Saul
Bayesian Modeling and Causal InferenceBayesian Methods and Mixture ModelsGaussian Processes and Bayesian InferenceGraphical modelInferenceComputer scienceBayesian inferenceApproximate inferenceAlgorithmBayesian networkArtificial intelligenceTheoretical computer scienceMathematics
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References
Factorial Hidden Markov Models
Machine Learning · 1997 · 1,178 citations
The Helmholtz Machine
Neural Computation · 1995 · 1,207 citations
Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm
Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1977 · 49,286 citations
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