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