Progressive random k-labelsets for cost-sensitive multi-label classification.
Yuping WuHsuan-Tien LinPublished in: Mach. Learn. (2017)
Keyphrases
- cost sensitive
- multi label
- multi label classification
- binary classification
- text categorization
- graph cuts
- image classification
- multi class
- text classification
- image annotation
- class distribution
- class imbalance
- class labels
- learning tasks
- naive bayes
- binary classifiers
- active learning
- decision trees
- learning problems
- data sets
- semi supervised learning
- nearest neighbor
- support vector machine
- classification accuracy