10-601 GM2

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This a lecture used in the Syllabus for Machine Learning 10-601B in Spring 2016



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