Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models.

Shivvrat Arya Tahrima Rahman Vibhav Gogate

Published in: CoRR (2024)

Keyphrases

probabilistic graphical models
learning algorithm
graphical models
markov logic
prior knowledge
bayesian framework
probabilistic inference
markov logic networks
supervised learning
belief propagation
approximate inference
markov networks
dynamic bayesian networks