Query-by-committee improvement with diversity and density in batch active learning.
Seho KeeEnrique del CastilloGeorge RungerPublished in: Inf. Sci. (2018)
Keyphrases
- query by committee
- active learning
- random sampling
- batch mode
- supervised learning
- sample complexity
- uncertainty sampling
- learning algorithm
- machine learning
- training examples
- learning strategies
- semi supervised
- generalization error
- labeled data
- semi supervised learning
- training set
- learning process
- class imbalance
- learning problems
- small number
- data mining
- training data
- lower bound
- experimental design
- sample size
- cost sensitive
- transfer learning
- unlabeled data
- learning environment
- model selection
- multi class