Exploiting Contextual Independence In Probabilistic Inference.
David L. PooleNevin Lianwen ZhangPublished in: J. Artif. Intell. Res. (2003)
Keyphrases
- probabilistic inference
- context specific independence
- graphical models
- bayesian networks
- conditional probabilities
- bayesian belief networks
- belief networks
- influence diagrams
- probabilistic reasoning
- weighted model counting
- approximate inference
- bucket elimination
- message passing
- conditional independence
- probabilistic model
- variable elimination
- support vector
- efficient inference
- elimination algorithm
- belief propagation
- level set
- neural network
- artificial neural networks