Cost-Accuracy Aware Adaptive Labeling for Active Learning.
Ruijiang GaoMaytal Saar-TsechanskyPublished in: CoRR (2021)
Keyphrases
- active learning
- active learning strategies
- labeling effort
- annotation effort
- cost sensitive
- computational cost
- highly accurate
- high cost
- learning strategies
- random selection
- semi supervised
- high accuracy
- machine learning
- cost sensitive learning
- prediction accuracy
- pool based active learning
- class imbalance
- selective sampling
- sample selection
- random sampling
- unlabeled data
- training set
- learning algorithm
- labeled data
- classification accuracy
- learning process
- active sampling
- computational complexity
- query by committee
- data mining
- neural network