Epistemic Uncertainty Sampling.
Vu-Linh NguyenSébastien DesterckeEyke HüllermeierPublished in: CoRR (2019)
Keyphrases
- uncertainty sampling
- active learning
- cost sensitive
- experimental design
- random sampling
- ensemble members
- logistic regression
- probability estimates
- multi class
- misclassification costs
- maximum entropy
- minimize total
- sample size
- supervised learning
- ensemble methods
- naive bayes
- semi supervised
- training set
- learning algorithm
- data mining
- training examples
- class distribution
- class imbalance
- upper bound