A Bayesian Networks Structural Learning Algorithm Based on a Multiexpert Approach.
Francesco ColaceMassimo De SantoMario VentoPasquale FoggiaPublished in: ICEIS (2) (2005)
Keyphrases
- bayesian networks
- learning algorithm
- structural models
- training data
- structural information
- structure learning
- active learning
- bayesian network structures
- augmented naive bayes
- conditional independence
- reinforcement learning
- probability distribution
- machine learning algorithms
- graphical models
- generalization ability
- bayesian network structure
- learning process
- machine learning
- naive bayes
- supervised learning
- conditional probabilities
- probabilistic inference
- learning tasks
- classification algorithm
- back propagation
- approximate inference
- training samples
- inference in bayesian networks
- structural analysis
- learning bayesian networks
- neural network
- learning rate
- probabilistic modeling
- sample complexity
- incomplete data
- unlabeled data