An Improved Bayesian Network Learning Algorithm Based on Dependency Analysis.
Fengzhan TianShengfeng TianJian YuHoukuan HuangPublished in: CIS (1) (2005)
Keyphrases
- dependency analysis
- learning algorithm
- bayesian networks
- augmented naive bayes
- ontology driven
- training data
- impact analysis
- incomplete data
- active learning
- probabilistic inference
- machine learning
- machine learning algorithms
- graphical models
- bayesian network structures
- conditional probabilities
- conditional independence
- information entropy
- probability distribution
- learning bayesian networks
- training samples
- naive bayes
- back propagation
- pattern recognition
- probabilistic model
- data analysis
- structure learning
- generalization error
- database
- learning process
- description logics
- transfer learning
- fuzzy logic
- supervised learning