Using Weak Prior Information on Structures to Learn Bayesian Networks.
Massimiliano MascheriniFederico M. StefaniniPublished in: KES (1) (2007)
Keyphrases
- prior information
- bayesian networks
- bayesian inference
- prior knowledge
- prior models
- conditional probability tables
- hyperparameters
- complex domains
- structural models
- probability distribution
- incomplete data
- probabilistic model
- learning bayesian networks
- training data
- parameter estimation
- bayesian network structures
- probabilistic modeling
- prior model
- prior distribution
- prior probabilities
- statistical information
- structure learning
- hidden variables
- probabilistic inference
- conditional probabilities
- graph cuts