Variational em - PowerPoint PPT Presentation

Joint work with Quaid Morris (1),(2) , Tim Hughes (2) and

GenXHC: A Probabilistic Generative Model for Cross-hybridization Compensation in High-density Genome-wide Microarray Data. Jim Huang (1). Joint work with Quaid Morris (1),(2) , Tim Hughes (2) and Brendan Frey (1),(2).

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Lecture 11

Lecture 11. Generalizations of EM. Last Time. Example of Gaussian mixture model. E-step: compute sufficient statistics w.r.t. posterior M-step: maximize Q. MoG_demo. Generalizations. Map-EM: include prior for parameters. EM computes maximum a-posteriori distribution.

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