Scoring Bayesian Networks with Informative, Causal and Associative Priors
Giorgos BorboudakisIoannis TsamardinosPublished in: CoRR (2012)
Keyphrases
- bayesian networks
- causal relationships
- causal independence
- causal networks
- causal discovery
- structure learning
- conditional independence
- probabilistic inference
- learning bayesian networks
- conditional probabilities
- graphical models
- probabilistic reasoning
- posterior probability
- causal knowledge
- bayesian framework
- markov blanket
- inference in bayesian networks
- associative memory
- random variables
- probabilistic model
- expert knowledge
- naive bayes
- probability distribution
- causal models
- scoring model
- incomplete data
- information content
- bayesian network learning
- expert systems
- probabilistic modeling
- spreading activation
- approximate inference
- probabilistic knowledge
- prior information
- language model
- probabilistic classifiers