Weighted model counting with conditional weights for Bayesian networks.

Paulius Dilkas Vaishak Belle

Published in: UAI (2021)

Keyphrases

weighted model counting
probabilistic inference
bayesian networks
conditional probabilities
bayesian inference

model counting
graphical models
belief networks
probabilistic model
probability distribution

approximate inference
structure learning
probabilistic reasoning
random variables
exact inference

message passing
knowledge compilation
prior knowledge
search algorithm