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From EM to CEM
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Action-Reaction Learning: Analysis and
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High Dimensions
CEM - A Maximum Conditional Likelihood Learner
From EM to CEM
Discrete Hidden Variables CEM
Continuous Hidden Variables CEM
CEM for Gaussian Mixture Models
Updating the Experts
Updating the Gates
Bounding Scalars: The Gate Mixing Proportions
Bounding Vectors: The Gate Means
Bounding Matrices: The Gate Covariances
MAP Estimation
Implementation and Interpretation
Conditional Constraints vs. Joint Constraints
Applying the Model
Expectation and Arg Max
Standardized Database Performance
Tony Jebara
1999-09-15
