A Multi-armed Bandit Approach to Cost-Sensitive Decision Tree Learning.
Susan LomaxSunil VaderaMohammed SaraeePublished in: ICDM Workshops (2012)
Keyphrases
- cost sensitive
- decision tree learning
- multi armed bandit
- decision trees
- naive bayes
- misclassification costs
- multi class
- reinforcement learning
- binary classification
- attribute values
- active learning
- ensemble methods
- bregman divergences
- class imbalance
- class distribution
- regret bounds
- support vector machine
- prediction accuracy
- training data