Active learning using adaptable task-based prioritisation.
Shaheer U. SaeedJoão RamalhinhoMark A. PinnockZiyi ShenYunguan FuNina Montaña BrownEster BonmatiDean C. BarrattStephen P. PereiraBrian R. DavidsonMatthew J. ClarksonYipeng HuPublished in: CoRR (2022)
Keyphrases
- active learning
- learning strategies
- learning algorithm
- machine learning
- supervised learning
- active learning strategies
- batch mode
- random sampling
- imbalanced data classification
- database
- pool based active learning
- batch mode active learning
- annotation effort
- labeled data
- semi supervised
- semi supervised learning
- transfer learning
- cost sensitive
- class imbalance
- selective sampling
- unlabeled data
- experimental design
- text mining
- support vector machine
- evolutionary algorithm
- learning process
- case study