Discriminative Probabilistic Models for Relational Data

Outline

nBayesian Networks

nRepresentation & Semantics

nReasoning

nProbabilistic Relational Models

nCollective Classification

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.