Active Learning to Maximize Area Under the ROC Curve.
Matt CulverKun DengStephen ScottPublished in: ICDM (2006)
Keyphrases
- active learning
- learning strategies
- learning algorithm
- class distribution
- random sampling
- supervised learning
- training examples
- semi supervised
- learning process
- active learning strategies
- labeled data
- unlabeled data
- selective sampling
- class imbalance
- machine learning
- training set
- imbalanced data classification
- pool based active learning
- batch mode active learning
- false positive rate
- experimental design
- roc curve
- generalization error
- cost sensitive
- incremental learning
- classification rules
- transfer learning
- pairwise
- error rate
- face detection
- semi supervised learning
- genetic programming
- online learning