Scoring and Searching over Bayesian Networks with Causal and Associative Priors.
Giorgos BorboudakisIoannis TsamardinosPublished in: UAI (2013)
Keyphrases
- bayesian networks
- causal relationships
- causal networks
- graphical models
- conditional independence
- inference in bayesian networks
- probabilistic model
- causal discovery
- causal knowledge
- probabilistic reasoning
- markov blanket
- causal independence
- posterior probability
- probabilistic inference
- probability distribution
- conditional probabilities
- random variables
- incomplete data
- bayesian network learning
- approximate inference
- prior knowledge
- learning bayesian networks
- spreading activation
- causal models
- hidden variables
- search strategies
- bayesian framework
- parameter learning
- prior probabilities
- bayesian belief networks
- structure learning
- information retrieval
- associative memory
- expert knowledge
- naive bayes
- probabilistic classifiers
- causal theories
- generative model
- scoring model