Outline
nBayesian Networks
nProbabilistic Relational Models
nCollective Classification & Clustering
nUndirected Discriminative Models
nMarkov Networks
nRelational Markov Networks
nCollective Classification Revisited
nPRMs for NLP
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.