CST-Voting: A semi-supervised ensemble method for classification problems.
Georgios KostopoulosIoannis E. LivierisSotiris B. KotsiantisVassilis TampakasPublished in: J. Intell. Fuzzy Syst. (2018)
Keyphrases
- ensemble methods
- semi supervised
- majority voting
- prediction accuracy
- random forests
- ensemble learning
- machine learning methods
- semi supervised learning
- decision trees
- benchmark datasets
- labeled data
- random forest
- rotation forest
- active learning
- unlabeled data
- base classifiers
- generalization ability
- supervised learning
- pairwise
- ensemble classifier
- drifting concepts
- named entity recognition
- subspace learning
- classifier ensemble
- loss function
- image classification
- multi class
- face recognition