Revisiting AdaBoost for Cost-Sensitive Classification. Part I: Theoretical Perspective.
Iago Landesa-VazquezJosé Luis Alba-CastroPublished in: CoRR (2015)
Keyphrases
- cost sensitive classification
- multi class
- cost sensitive
- error rate
- cost sensitive learning
- support vector
- pairwise
- multi class classification
- support vector machine
- base classifiers
- binary classification
- misclassification costs
- feature selection
- decision trees
- similarity measure
- training data
- active learning
- learning algorithm