Learning and approximate inference in dynamic hierarchical models.

Bart Bakker Tom Heskes

Published in: Comput. Stat. Data Anal. (2007)

Keyphrases

approximate inference
hierarchical models
learning algorithm
exact inference
structured prediction
deep belief networks
graphical models
probabilistic inference
bayesian networks
parameter estimation
belief propagation
belief networks
message passing
dynamic bayesian networks
variational methods