Sample-Label View Transfer Active Learning for Time Series Classification.
Patrick KinyuaNicolas JouandeauPublished in: ICANN (5) (2021)
Keyphrases
- active learning
- transfer learning
- label noise
- sample selection
- labeling effort
- active learning framework
- supervised learning
- class labels
- multi label
- random sampling
- unlabeled data
- learning algorithm
- representative samples
- active learning strategies
- knowledge transfer
- multiple views
- labeled data
- machine learning
- cost sensitive
- sample size
- cross domain
- data samples
- sampling methods
- image labeling
- selective sampling
- semi supervised learning
- unlabeled instances
- semi supervised
- learning process
- training set
- query by committee