Conditions Under Which Conditional Independence and Scoring Methods Lead to Identical Selection of Bayesian Network Models.
Robert G. CowellPublished in: UAI (2001)
Keyphrases
- conditional independence
- bayesian network models
- bayesian networks
- scoring methods
- structure learning
- random variables
- probability distribution
- graphical models
- comparative evaluation
- probabilistic inference
- causal models
- optimization methods
- directed acyclic graph
- posterior probability
- incomplete data
- genetic algorithm
- approximate inference
- conditional probabilities
- rare events
- belief propagation
- decision trees