An active learning ensemble method for regression tasks.
Nikos FazakisGeorgios KostopoulosStamatis KarlosSotiris KotsiantisKyriakos N. SgarbasPublished in: Intell. Data Anal. (2020)
Keyphrases
- ensemble methods
- active learning
- uncertainty sampling
- prediction accuracy
- random forests
- benchmark datasets
- base learners
- ensemble learning
- base classifiers
- random forest
- machine learning methods
- cost sensitive
- transfer learning
- decision trees
- semi supervised
- generalization ability
- experimental design
- regression problems
- genetic algorithm
- random sampling
- linear regression
- multi task
- supervised learning
- multilabel classification
- rotation forest
- feature subset
- training examples
- feature vectors
- training data
- feature extraction
- multiple models
- cluster ensemble
- data sets