Scoring and Searching over Bayesian Networks with Causal and Associative Priors.
Giorgos BorboudakisIoannis TsamardinosPublished in: CoRR (2014)
Keyphrases
- bayesian networks
- causal relationships
- graphical models
- probabilistic reasoning
- causal discovery
- conditional independence
- probabilistic model
- posterior probability
- structure learning
- expert knowledge
- causal networks
- markov blanket
- bayesian framework
- probabilistic inference
- causal independence
- probability distribution
- conditional probabilities
- parameter learning
- scoring model
- multiply sectioned bayesian networks
- causal models
- search strategies
- incomplete data
- junction tree
- learning bayesian networks
- associative memory
- prior information
- inference in bayesian networks
- random variables
- causal knowledge
- prior knowledge
- sleep stage
- information retrieval