A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning.
Kuan-Hao HuangHsuan-Tien LinPublished in: ICDM (2016)
Keyphrases
- cost sensitive
- sampling algorithm
- active learning
- multi class
- random sampling
- cost sensitive classification
- cost sensitive active learning
- multiclass classification
- binary classification
- cost sensitive learning
- misclassification costs
- active learning strategies
- multi class classification
- class distribution
- class imbalance
- support vector machine
- hyperparameters
- supervised learning
- learning algorithm
- training set
- pairwise
- labeled data
- boosting algorithms
- feature selection
- semi supervised
- machine learning
- learning process
- binary classifiers
- feature space
- base classifiers
- sample size
- transfer learning
- unlabeled data
- feature vectors