Graphical models

Reference document

The lecture closely follows and largely borrows material from “Machine Learning: A Probabilistic Perspective” (MLAPP) from Kevin P. Murphy, chapters:

  • Chapter 10: Directed graphical models (Bayes nets)
  • Chapter 19: Undirected graphical models (Markov random fields)
  • Chapter 20: Exact inference for graphical models
  • Chapter 26: Graphical model structure learning

Directed models