On modeling of if-then rules for probabilistic inference.
Hung T. NguyenI. R. GoodmanPublished in: Int. J. Intell. Syst. (1994)
Keyphrases
- probabilistic inference
- graphical models
- bayesian networks
- influence diagrams
- context specific independence
- conditional probabilities
- weighted model counting
- efficient inference
- belief networks
- message passing
- approximate inference
- bayesian belief networks
- elimination algorithm
- bucket elimination
- neural network
- variable elimination
- exact inference
- probabilistic reasoning
- decision trees