Variational Learning in Mixed-State Dynamic Graphical Models

Vladimir Pavlovic Brendan J. Frey Thomas S. Huang

Published in: CoRR (2013)

Keyphrases

graphical models
belief propagation
conditional random fields
approximate inference
bayesian networks
probabilistic inference
deep architectures
relational dependency networks
search algorithm
markov networks
dynamic bayesian networks
probabilistic graphical models
markov logic networks
structural learning