Difference between revisions of "10-601 GM2"

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=== Readings ===
 
=== Readings ===
  
* [http://curtis.ml.cmu.edu/w/courses/images/e/e3/Graph.pdf Sparse Inverse Covariance Estimation with the Graphical Lasso]
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* See previous lecture
* [http://www.cs.cmu.edu/~epxing/papers/2010/kolar_song_xing_aoas10.pdf Estimating Time-Varying Networks]
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=== To remember ===
 
=== To remember ===
  

Revision as of 16:20, 22 March 2016

Slides

Slides in PDF

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