CMSC 671 Fall 2005. Class #27 – Tuesday, December 6. Today’s class(es). Neural networks Bayesian learning. Bayesian Learning. Chapter 20.1-20.2. Some material adapted from lecture notes by Lise Getoor and Ron Parr. Bayesian learning: Bayes’ rule.
Class #27 – Tuesday, December 6
Some material adapted from lecture notes by Lise Getoor and Ron Parr
These are equal by our
→ we get a separate estimation task for each parameter
θ*A | E, B = N(A, E, B) / N(E, B)
Goal: Select the best network structure, given the data
Score(structure) = Si Score(family of Xi)Structure selection: Scoring