Probabilistic Inference in BN2T Models by Weighted Model Counting.
Jirí VomlelPetr TichavskýPublished in: SCAI (2013)
Keyphrases
- probabilistic inference
- weighted model counting
- bayesian networks
- bayesian network models
- bayesian belief networks
- graphical models
- belief networks
- bayesian inference
- probabilistic model
- conditional probabilities
- approximate inference
- message passing
- model counting
- structured prediction
- higher order
- random variables
- image segmentation