Extending AdaBoost to Iteratively Vary Its Base Classifiers.
Erico N. de SouzaStan MatwinPublished in: Canadian Conference on AI (2011)
Keyphrases
- base classifiers
- ensemble methods
- multi class
- decision trees
- naive bayes
- training set
- ensemble learning
- random forest
- meta learning
- training samples
- ensemble classifier
- combining classifiers
- classifier ensemble
- classifier combination
- class labels
- boosting algorithms
- base learners
- cost sensitive
- error correcting output codes
- feature set
- multiclass classification
- training data
- machine learning methods
- feature vectors
- training error