The Relationship Between Agnostic Selective Classification Active Learning and the Disagreement Coefficient.
Roei GelbhartRan El-YanivPublished in: CoRR (2017)
Keyphrases
- active learning
- selective sampling
- machine learning
- supervised learning
- decision trees
- training set
- annotation effort
- hyperspectral image classification
- batch mode active learning
- class imbalance
- classification method
- feature selection
- classification accuracy
- classification systems
- support vector machine svm
- feature extraction
- pattern classification
- pattern recognition
- decision rules
- feature vectors
- support vector
- automatic classification
- classification models
- classification rules
- learning strategies
- training examples
- learning process
- image classification
- class labels
- semi supervised
- classification scheme
- data mining
- learning algorithm
- rare class
- sample selection
- random selection
- feature space
- text classification
- unlabeled data
- cost sensitive
- benchmark datasets
- classification algorithm