Conditions Under Which Conditional Independence and Scoring Methods Lead to Identical Selection of Bayesian Network Models
Robert G. CowellPublished in: CoRR (2013)
Keyphrases
- conditional independence
- bayesian network models
- bayesian networks
- scoring methods
- graphical models
- random variables
- structure learning
- comparative evaluation
- probabilistic inference
- probability distribution
- causal models
- directed acyclic graph
- conditional probabilities
- probabilistic model
- optimization methods
- exact inference
- hidden variables
- optimization method
- mixture model
- information extraction
- rare events