Approximating Probabilistic Inference in Bayesian Belief Networks.
Paul DagumR. Martin ChavezPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (1993)
Keyphrases
- probabilistic inference
- bayesian belief networks
- belief networks
- graphical models
- bayesian networks
- conditional probabilities
- weighted model counting
- approximate inference
- probabilistic reasoning
- probabilistic networks
- influence diagrams
- exact inference
- context specific independence
- message passing
- data sets
- random variables
- probability distribution
- neural network
- junction tree