Rotation Forest and Random Oracles: Two Classifier Ensemble Methods.
Juan J. Rodríguez DiezPublished in: CBMS (2007)
Keyphrases
- ensemble methods
- rotation forest
- ensemble learning
- decision trees
- individual classifiers
- classifier ensemble
- ensemble classifier
- prediction accuracy
- majority voting
- random forests
- random forest
- base classifiers
- benchmark datasets
- base learners
- machine learning methods
- feature subset
- generalization ability
- bootstrap sampling
- binary classification
- training samples
- active learning
- feature selection
- class labels
- subspace methods
- training data
- machine learning
- multi class
- support vector machine
- feature space
- classifier combination
- classification models
- genetic programming
- classification accuracy