An ensemble method based on evolving classifiers: eStacking.
José Antonio IglesiasAgapito LedezmaAraceli SanchisPublished in: EALS (2014)
Keyphrases
- ensemble methods
- rotation forest
- ensemble learning
- ensemble classifier
- decision trees
- random forest
- classifier ensemble
- machine learning methods
- individual classifiers
- prediction accuracy
- ensemble members
- random forests
- multilabel classification
- benchmark datasets
- generalization ability
- randomized trees
- class label noise
- drifting concepts
- base classifiers
- subspace methods
- base learners
- machine learning
- naive bayes
- classifier combination
- feature subset
- machine learning algorithms
- training data
- classification models
- multi class
- evolutionary algorithm
- support vector
- instance based learning
- face recognition
- classification algorithm
- test data