Cost-Sensitive Feature Selection via F-Measure Optimization Reduction.
Meng LiuChang XuYong LuoChao XuYonggang WenDacheng TaoPublished in: AAAI (2017)
Keyphrases
- cost sensitive
- feature selection
- multi class
- naive bayes
- cost sensitive learning
- cost sensitive classification
- misclassification costs
- directly optimize
- class imbalance
- binary classification
- support vector machine
- text classification
- text categorization
- class distribution
- confidence weighted
- decision trees
- classification accuracy
- active learning
- feature extraction
- data sets
- feature space
- support vector
- multi label
- cost sensitive boosting
- k nearest neighbor
- feature subset
- error rate
- unsupervised learning
- image classification
- feature set
- image features
- information retrieval
- machine learning