Improving ranking performance with cost-sensitive ordinal classification via regression.
Yu-Xun RuanHsuan-Tien LinMing-Feng TsaiPublished in: Inf. Retr. (2014)
Keyphrases
- ordinal classification
- cost sensitive
- binary classification
- multi class classification
- multi class
- misclassification costs
- cost sensitive classification
- cost sensitive learning
- monotonicity constraints
- active learning
- naive bayes
- support vector machine
- class imbalance
- class distribution
- support vector
- lower bound
- decision trees
- base classifiers
- neural network
- learning problems
- multi label
- semi supervised learning