Active Learning for One-Class Classification Using Two One-Class Classifiers.
Patrick SchlachterBin YangPublished in: CoRR (2019)
Keyphrases
- active learning
- class imbalance
- binary classification
- binary classifiers
- single class
- network intrusion detection
- active learning strategies
- learning strategies
- random sampling
- semi supervised
- pool based active learning
- selective sampling
- machine learning
- imbalanced data
- training set
- experimental design
- cost sensitive
- multi class
- generalization error
- learning algorithm
- training examples
- novelty detection
- supervised and unsupervised learning
- supervised learning
- learning process
- classification error
- imbalanced data classification
- labeled data
- minority class
- relevance feedback
- sample selection
- cost sensitive learning
- music emotion classification
- data sets
- sampling methods
- multi class classification
- transfer learning
- multi label
- training samples
- unlabeled data
- data mining