An Entropy-based Learning Algorithm of Bayesian Conditional Trees.
Dan GeigerPublished in: UAI (1992)
Keyphrases
- learning algorithm
- electric load
- decision trees
- reinforcement learning
- machine learning algorithms
- bayesian networks
- decision tree learning
- bayesian estimation
- posterior probability
- bayesian inference
- learning rate
- learning problems
- training examples
- tree structure
- decision tree learners
- learning scheme
- supervised learning
- tree structures
- bayesian methods
- machine learning
- belief nets
- random field model
- tree models
- active learning
- tree construction
- bayesian learning
- multi task learning
- gaussian processes
- posterior distribution
- data driven
- neural network
- maximum likelihood
- back propagation
- labeled data