How to measure uncertainty in uncertainty sampling for active learning.
Vu-Linh NguyenMohammad Hossein ShakerEyke HüllermeierPublished in: Mach. Learn. (2022)
Keyphrases
- active learning
- uncertainty sampling
- cost sensitive
- experimental design
- random sampling
- query by committee
- learning algorithm
- training set
- semi supervised
- supervised learning
- learning process
- ensemble members
- unlabeled data
- misclassification costs
- machine learning
- learning strategies
- labeled data
- similarity measure
- conditional probabilities
- maximum entropy
- multi class
- probability estimates
- sample size
- generalization error
- training examples
- empirical studies