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Factorial Hidden Markov Models

Machine Learning · 1997 · Vol. 29(2-3) · pp. 245–273

Zoubin Ghahramani✉(University of Toronto)Michael I. Jordan(Massachusetts Institute of Technology)

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Bayesian Modeling and Causal Inference Machine Learning and Algorithms Bayesian Methods and Mixture ModelsHidden Markov modelGeneralizationHidden variable theoryGibbs samplingInferenceComputer scienceGraphical modelArtificial intelligenceAlgorithmRepresentation (politics)

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References

Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems

Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1988 · 3,933 citations

Error bounds for convolutional codes and an asymptotically optimum decoding algorithm

IEEE Transactions on Information Theory · 1967 · 6,722 citations

Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

IEEE Transactions on Pattern Analysis and Machine Intelligence · 1984 · 17,882 citations

Hierarchical Mixtures of Experts and the EM Algorithm

Neural Computation · 1994 · 2,597 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

Neural Networks and the Bias/Variance Dilemma

Neural Computation · 1992 · 3,522 citations

Hidden Markov Models in Computational Biology

Journal of Molecular Biology · 1994 · 1,947 citations

The Calculation of Posterior Distributions by Data Augmentation

Journal of the American Statistical Association · 1987 · 3,753 citations

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