Evidence-based uncertainty sampling for active learning.
Manali SharmaMustafa BilgicPublished in: Data Min. Knowl. Discov. (2017)
Keyphrases
- uncertainty sampling
- active learning
- cost sensitive
- experimental design
- random sampling
- query by committee
- machine learning
- supervised learning
- learning algorithm
- training examples
- data mining
- semi supervised
- training set
- unlabeled data
- learning strategies
- probability estimates
- lower bound
- misclassification costs
- ensemble members
- decision trees
- data sets
- labeled data
- learning process
- maximum entropy
- class imbalance
- support vector