Weighted model counting with conditional weights for Bayesian networks.
Paulius DilkasVaishak BellePublished 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