Convergence of Uncertainty Sampling for Active Learning.
Anant RajFrancis R. BachPublished in: CoRR (2021)
Keyphrases
- uncertainty sampling
- active learning
- cost sensitive
- experimental design
- random sampling
- query by committee
- ensemble members
- learning strategies
- machine learning
- unlabeled data
- probability estimates
- training examples
- semi supervised
- training set
- multi class
- learning process
- learning algorithm
- labeled data
- supervised learning
- semi supervised learning
- logistic regression
- support vector machine
- misclassification costs
- feature selection
- class imbalance
- classification accuracy