On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks.
Dan WuCory J. ButzPublished in: RSFDGrC (1) (2005)
Keyphrases
- probabilistic inference
- singly connected
- bayesian networks
- probabilistic reasoning
- belief networks
- message passing
- context specific independence
- graphical models
- conditional probabilities
- weighted model counting
- bayesian belief networks
- influence diagrams
- variable elimination
- inference in bayesian networks
- approximate inference
- exact inference
- probability distribution
- conditional independence
- random variables
- probabilistic model
- junction tree
- belief propagation
- bayesian inference