Difference between revisions of "10-601 GM2"
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=== Slides === | === Slides === | ||
Revision as of 17:22, 22 March 2016
This a lecture used in the Syllabus for Machine Learning 10-601B in Spring 2016
Slides
Readings
- See previous lecture
To remember
- what is inference in DGMs
- the general outline of the BP algorithm for polytrees
- what is a polytree and when is BP exact
- what "message passing" means
- what a Markov blanket is
- what a Markov network (undirected model) is
- how node can be merged to create a polytree
- the advantages and disadvantages of BP on polytrees and loopy BP
