|We will look at 2 classes of
prob graphical models that represent complex distributions compactly and
allow us to reason
|efficiently. First, we will look at directed models,
called Bayesian networks and their extension to relational data, PRMs. We’ll then consider
|undirected models, such as
Markov nets and Relational Markov nets.