Exploiting Causal Independence Using Weighted Model Counting.
Wei LiPascal PoupartPeter van BeekPublished in: AAAI (2008)
Keyphrases
- weighted model counting
- causal independence
- probabilistic inference
- graphical models
- belief networks
- bayesian networks
- probabilistic reasoning
- message passing
- conditional probabilities
- approximate inference
- probabilistic model
- neural network
- maximum likelihood
- random variables
- information extraction
- bayesian inference
- exact inference
- probability distribution
- conditional independence
- joint probability
- model counting