Bayesian Network Learning with Abstraction Hierarchies and Context-Specific Independence.
Marie desJardinsPriyang RathodLise GetoorPublished in: ECML (2005)
Keyphrases
- bayesian network learning
- context specific independence
- bayesian networks
- probabilistic inference
- probabilistic model
- conditional independencies
- conditional probability tables
- parameter learning
- structure learning
- conditional independence
- conditional probabilities
- probability distribution
- random variables
- graphical models
- hidden variables
- incomplete data
- naive bayes models
- approximate inference
- bayesian belief networks
- posterior distribution
- bayesian inference
- message passing
- natural language