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Directed Graphical Models Details

DirectedGraphicalModels
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Directed Graphical Models

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In this talk I introduce the basic concepts of directed graphical models. I then introduce the EM algorithm and discuss learning in latent variable models, considering several mixture models (discrete latent variables), probabilistic PCA (continuous latent variables) and extensions. Next, I describe conditional models for regression, draw links to least squares and ridge regression. Finally, the talk is ended with an introduction to Gaussian process regression.
Channel: VideoLectures
Video Length: 24m 50s
Date Found: Fri, Apr 01 2011 7:20 AM
Category: Educational
Date Produced: Thu, Mar 31 2011 3:00 AM
View Count: 10
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