A randomized approximation algorithm for probabilistic inference on bayesian belief networks.
R. Martin ChavezGregory F. CooperPublished in: Networks (1990)
Keyphrases
- probabilistic inference
- bayesian belief networks
- variable elimination
- bayesian networks
- junction tree
- elimination algorithm
- learning algorithm
- dynamic programming
- probabilistic model
- belief networks
- bucket elimination
- data sets
- weighted model counting
- message passing
- conditional probabilities
- matching algorithm
- graphical models
- optimal solution
- artificial neural networks
- lower bound
- image segmentation