Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification.
Han BaoMasashi SugiyamaPublished in: CoRR (2019)
Keyphrases
- binary classification
- linear fractional
- multi class
- learning problems
- support vector
- simplex method
- cost sensitive
- multi label
- support vector machine
- multi class classification
- binary classifiers
- prediction accuracy
- generalization error
- ensemble methods
- learning tasks
- class imbalance
- linear program
- linear programming
- training set
- convergence rate
- kernel methods
- supervised learning
- knn