Exploiting Structure in Weighted Model Counting Approaches to Probabilistic Inference.

Wei Li Pascal Poupart Peter van Beek

Published in: CoRR (2014)

Keyphrases

probabilistic inference
weighted model counting
graphical models
bayesian inference
bayesian networks
approximate inference
model counting
belief networks
message passing
conditional probabilities
exact inference
probabilistic model
prior information
upper bound