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

• Directed Graphical Models

Undirected models

• Undirected Graphical Models