Active learning Rotation Forest for multiclass classification.
Vangjel KazllarofStamatis KarlosSotiris KotsiantisPublished in: Comput. Intell. (2019)
Keyphrases
- multiclass classification
- active learning
- base classifiers
- cost sensitive
- multi class
- binary classification
- training set
- ensemble methods
- generalization error
- class imbalance
- random forest
- learning algorithm
- machine learning algorithms
- supervised learning
- semi supervised
- unlabeled data
- machine learning
- binary classifiers
- labeled data
- decision trees
- ensemble learning
- training examples
- transfer learning
- class distribution
- class labels
- ensemble classifier
- learning tasks
- support vector machine
- classification accuracy
- learning process
- training data
- cross validation
- feature selection