Outline
nBayesian Networks
nProbabilistic Relational Models
nCollective Classification & Clustering
nLearning models from data
nCollective classification of webpages
nUndirected discriminative models
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.