Discriminative Probabilistic Models for Relational Data

Outline

nBayesian Networks

nProbabilistic Relational Models

nCollective Classification & Clustering

nUndirected Discriminative Models

nCollective Classification Revisited

nDiscriminative training of RMNs

nWebpage classification

nLink prediction

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.