An Entropy-based Learning Algorithm of Bayesian Conditional Trees
Dan GeigerPublished in: CoRR (2013)
Keyphrases
- learning algorithm
- electric load
- decision trees
- bayesian networks
- machine learning
- machine learning algorithms
- bayesian decision
- bayesian learning
- maximum likelihood
- learning problems
- bayesian inference
- tree structure
- back propagation
- conditional probabilities
- training data
- belief nets
- reinforcement learning
- bayesian methods
- learning scheme
- learning tasks
- active learning
- learning process
- decision tree learning
- bayesian estimation
- supervised learning
- tree structures
- learning rate
- random field model
- neural network
- learning rules
- training samples
- generalization error
- generalization ability
- learning models
- data sets
- training examples