Ensemble method based on individual evolving classifiers.
José Antonio IglesiasAgapito LedezmaAraceli SanchisPublished in: EAIS (2013)
Keyphrases
- ensemble methods
- rotation forest
- ensemble learning
- ensemble classifier
- random forest
- decision trees
- machine learning methods
- classifier ensemble
- individual classifiers
- prediction accuracy
- randomized trees
- multilabel classification
- benchmark datasets
- class label noise
- random forests
- base learners
- base classifiers
- generalization ability
- ensemble members
- subspace methods
- drifting concepts
- feature subset
- machine learning algorithms
- training data
- data sets
- support vector
- feature selection
- concept drift
- test set
- text categorization
- multi class
- support vector machine
- machine learning