How to Measure Uncertainty in Uncertainty Sampling for Active Learning.
Eyke HüllermeierPublished in: IAL@PKDD/ECML (2020)
Keyphrases
- active learning
- uncertainty sampling
- cost sensitive
- experimental design
- random sampling
- query by committee
- learning strategies
- machine learning
- ensemble members
- semi supervised
- misclassification costs
- supervised learning
- unlabeled data
- learning algorithm
- generalization error
- training examples
- multi class
- training set
- similarity measure
- maximum entropy
- learning process
- sample size
- class imbalance
- semi supervised learning
- probability estimates
- minimize total