End-to-End Ensemble Learning by Exploiting the Correlation Between Individuals and Weights.
Shasha MaoWeisi LinLicheng JiaoShuiping GouJiawei ChenPublished in: IEEE Trans. Cybern. (2021)
Keyphrases
- end to end
- ensemble learning
- weighted voting
- generalization ability
- ensemble methods
- decision stumps
- unlabeled data
- random forest
- congestion control
- weak learners
- pairwise
- ensemble classifier
- feature selection
- semi supervised learning
- base classifiers
- concept drift
- data sets
- optimization algorithm
- labeled data
- semi supervised
- fuzzy logic