Scalable inference for hybrid Bayesian networks with full density estimations.
Wei SunKuo-Chu ChangKathryn B. LaskeyPublished in: FUSION (2010)
Keyphrases
- bayesian networks
- probabilistic inference
- inference in bayesian networks
- exact inference
- probabilistic reasoning
- multiply sectioned bayesian networks
- bayesian network inference
- parameter learning
- graphical models
- structure learning
- conditional independence
- dynamic bayesian networks
- learning bayesian networks
- junction tree
- evidential reasoning
- influence diagrams
- probabilistic model
- low density
- probability distribution
- conditional probabilities
- linear gaussian
- web scale
- context specific independence
- bayesian network classifiers
- lightweight
- posterior probability
- probabilistic modeling
- clique tree
- random variables
- data sets
- markov blanket
- structured prediction
- knowledge representation
- belief networks
- expert knowledge