A Bayesian Network Scoring Metic that Is Based on Globally Uniform Parameter Priors.
Mehmet KayaalpGregory F. CooperPublished in: UAI (2002)
Keyphrases
- bayesian networks
- scoring metrics
- graphical models
- inference in bayesian networks
- statistical data
- probabilistic inference
- parameter values
- belief networks
- probability distribution
- bayesian framework
- random variables
- structure learning
- probabilistic reasoning
- prior knowledge
- cross entropy
- image reconstruction
- learned from training data
- search space
- bayesian network inference
- structural learning
- bayesian network classifiers
- optimal parameters
- conditional independence
- conditional probabilities