Active Learning with Unsupervised Ensembles of Classifiers.
Panagiotis A. TraganitisDimitris BerberidisGeorgios B. GiannakisPublished in: ICASSP (2020)
Keyphrases
- active learning
- semi supervised
- supervised learning
- training examples
- word sense induction
- ensemble learning
- supervised classification
- decision trees
- training set
- hyperspectral image classification
- ensemble classifier
- combining classifiers
- classifier ensemble
- diversity measures
- multiple classifier systems
- weighted voting
- ensemble members
- training data
- learning algorithm
- machine learning
- unsupervised learning
- ensemble methods
- rare class
- generalization error
- unlabeled data
- supervised training
- majority voting
- naive bayes
- machine learning algorithms
- support vector
- supervised methods
- semi supervised learning
- test set
- multiple classifiers
- class labels
- transfer learning
- selective sampling
- imbalanced data
- co training
- linear classifiers
- base classifiers
- roc curve
- feature selection
- svm classifier
- learning process
- decision stumps
- classification systems
- training samples
- classifier combination
- fusion methods
- machine learning methods
- sample selection
- relevance feedback
- decision boundary
- random forests
- feature ranking