Exploiting Evidence in Probabilistic Inference
Mark ChaviraDavid AllenAdnan DarwichePublished in: CoRR (2012)
Keyphrases
- probabilistic inference
- graphical models
- bayesian networks
- context specific independence
- conditional probabilities
- message passing
- influence diagrams
- belief networks
- probabilistic reasoning
- bayesian belief networks
- weighted model counting
- small number
- efficient inference
- approximate inference
- bucket elimination
- elimination algorithm
- data sets
- variable elimination
- artificial neural networks
- probability distribution
- prior knowledge