Cost-Sensitive Feature Selection by Optimizing F-Measures.
Meng LiuChang XuYong LuoChao XuYonggang WenDacheng TaoPublished in: IEEE Trans. Image Process. (2018)
Keyphrases
- cost sensitive
- feature selection
- multi class
- naive bayes
- directly optimize
- misclassification costs
- cost sensitive classification
- cost sensitive learning
- class imbalance
- active learning
- binary classification
- support vector machine
- text classification
- text categorization
- class distribution
- decision trees
- classification accuracy
- feature set
- feature space
- feature extraction
- evaluation measures
- machine learning
- cost sensitive boosting
- base classifiers
- knn
- bayesian networks
- probability estimation
- boosting algorithms
- support vector
- confidence weighted
- information retrieval