Identifying and Mitigating Labelling Errors in Active Learning.
Mohamed-Rafik BougueliaYolande BelaïdAbdel BelaïdPublished in: ICPRAM (Selected Papers) (2015)
Keyphrases
- active learning
- learning strategies
- real world
- machine learning
- learning algorithm
- semi supervised learning
- imbalanced data classification
- prediction error
- training examples
- unlabeled data
- supervised learning
- semi supervised
- neural network
- labeled data
- database
- relevance feedback
- transfer learning
- cost sensitive
- training set
- error detection
- selective sampling
- sample selection