An Introduction to Conditional Random Fields for Relational Learning

by Charles Sutton and Andrew McCallum (umass)

[Sutton07a] C. Sutton and A. McCallum. An Introduction to Conditional Random Fields for Relational Learning. In L.Getoor and B. Taskar, editors. Introduction to Statistical Relational Learning.MIT Press, 2007. [ url ]

Good intro to conditional random fields (CRFs)!

relation of naive Bayes to logistic regression, directed to undirected graphical models, Markov chains (HMMs) to linear-chain CRFS.

role of p(x) in generative models; lack thereof in, relaxation of model parameters, and freedom from (in)dependence assumptions in discriminative models.