A Tunable Loss Function for Binary Classification.
Tyler SypherdMario DíazLalitha SankarPeter KairouzPublished in: ISIT (2019)
Keyphrases
- binary classification
- loss function
- support vector
- multi class
- convex loss functions
- pairwise
- learning problems
- support vector machine
- hinge loss
- multi class classification
- cost sensitive
- binary classifiers
- multi label
- prediction accuracy
- generalization error
- kernel function
- boosting algorithms
- risk minimization
- reproducing kernel hilbert space
- hyperplane
- ensemble methods
- class imbalance
- classification accuracy
- training examples
- feature selection
- svm classifier
- image classification