Bagging and Boosting Fine-Tuning for Ensemble Learning.
Changming ZhaoRuimin PengDongrui WuPublished in: IEEE Trans. Artif. Intell. (2024)
Keyphrases
- ensemble learning
- fine tuning
- ensemble methods
- weak learners
- base classifiers
- generalization ability
- ensemble classifier
- base learners
- random forest
- concept drift
- learning machines
- prediction accuracy
- weighted voting
- random forests
- decision stumps
- learning algorithm
- negative correlation learning
- feature selection
- machine learning methods
- unlabeled data
- random subspace
- mutual subspace method