Incremental Learning by Heterogeneous Bagging Ensemble.
Qiang-Li ZhaoYan-Huang JiangMing XuPublished in: ADMA (2) (2010)
Keyphrases
- incremental learning
- ensemble methods
- ensemble learning
- base classifiers
- random forests
- ensemble selection
- ensemble members
- random forest
- ensemble classification
- ensemble classifier
- imbalanced data
- majority voting
- classifier ensemble
- prediction accuracy
- class label noise
- decision trees
- fuzzy artmap
- base learners
- decision tree classifiers
- benchmark datasets
- incremental learning algorithm
- decision tree ensembles
- feature selection
- generalization ability
- machine learning methods
- randomized trees
- tree ensembles
- batch mode
- machine learning
- learning algorithm
- individual classifiers
- training data
- semi supervised
- concept drift
- weak learners
- training set
- learning process
- supervised learning
- negative correlation learning
- pruning algorithm
- neural learning
- batch learning
- weak classifiers
- support vector machine svm