Learning mixed graphical models from data with p larger than n.

Inma Tur Robert Castelo

Published in: UAI (2011)

Keyphrases

graphical models
probabilistic model
statistical inference
prior knowledge
bayesian networks
belief propagation
probabilistic inference
probability distribution
random variables
background knowledge
approximate inference
bayesian methods
generative model
conditional random fields
structured prediction