Convergence of Uncertainty Sampling for Active Learning.
Anant RajFrancis R. BachPublished in: ICML (2022)
Keyphrases
- uncertainty sampling
- active learning
- cost sensitive
- experimental design
- random sampling
- ensemble members
- query by committee
- training set
- training examples
- machine learning
- maximum entropy
- learning strategies
- supervised learning
- generalization error
- probability estimates
- labeled data
- empirical studies
- unlabeled data
- multi class
- learning process
- data sets
- logistic regression
- learning experience
- sample complexity
- misclassification costs
- learning algorithm
- sample size
- class imbalance