The Max-Relevance and Min-Redundancy Greedy Bayesian Network Learning Algorithm.
Feng LiuQiLiang ZhuPublished in: IWINAC (1) (2007)
Keyphrases
- learning algorithm
- bayesian networks
- minimum redundancy
- machine learning
- batch mode
- augmented naive bayes
- greedy algorithm
- search space
- reinforcement learning
- training data
- bayesian network inference
- dynamic programming
- decision tree learners
- supervised learning
- training samples
- learning bayesian networks
- structure learning
- learning rate
- incomplete data
- probabilistic inference
- search algorithm
- decision trees
- greedy strategy
- feature selection
- probabilistic reasoning
- generalization ability
- learning tasks
- transfer learning
- learning problems
- random variables
- back propagation
- active learning
- probabilistic model
- machine learning algorithms
- learning process
- probability distribution
- graphical models
- inference in bayesian networks
- uncertain knowledge
- greedy algorithms
- naive bayes
- greedy search
- parameter learning
- classification algorithm