On the Role of Contextual Weak Independence in Probabilistic Inference.
Cory J. ButzManon J. SanscartierPublished in: Canadian Conference on AI (2002)
Keyphrases
- probabilistic inference
- context specific independence
- graphical models
- bayesian networks
- influence diagrams
- belief networks
- efficient inference
- weighted model counting
- conditional probabilities
- message passing
- approximate inference
- bayesian belief networks
- probabilistic reasoning
- bucket elimination
- variable elimination
- conditional independence
- machine learning
- elimination algorithm
- belief propagation
- probabilistic model
- domain knowledge
- search algorithm
- decision trees