[Coursera] Probabilistic Graphical Models (Week #2)

previously:
第一周   http://www.1point3acres.com/bbs/thread-39882-1-1.html

Stanford CS228: Probabilistic graphical models WEEK 2

Structured CPDs (conditional probability distribution)
  Tree-Structured CPDs.
  Independence of Causal Influence.
  Continuous Variables.

Markov Network Fundamentals
  Pairwise Markov Networks.
  General Gibbs Distribution.
  Conditional Random Fields.
  Independencies in Markov Networks.
  I-Maps and Perfect Maps.
  Log-Linear Models.
  Shared Features in Log-Linear Models.

week2 作业

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