Learning Bayesian networks from data: An information-theory based approach.
Jie ChengRussell GreinerJonathan KellyDavid A. BellWeiru LiuPublished in: Artif. Intell. (2002)
Keyphrases
- information theory
- learning bayesian networks from data
- information theoretic
- bayesian networks
- statistical learning
- statistical mechanics
- jensen shannon divergence
- conditional entropy
- bayesian network structures
- equivalence classes
- efficient inference
- search space
- scoring function
- shannon entropy
- optimal solution