A Generalization of Sigmoid Loss Function Using Tsallis Statistics for Binary Classification.
Hilman F. PardedeAdhi PurwokoVicky ZilvanAsri Rizki YulianiAndria ArisalPublished in: Neural Process. Lett. (2023)
Keyphrases
- loss function
- binary classification
- support vector
- convex loss functions
- hinge loss
- multi class
- learning problems
- multi class classification
- pairwise
- cost sensitive
- multi label
- support vector machine
- prediction accuracy
- reproducing kernel hilbert space
- risk minimization
- boosting algorithms
- generalization error
- binary classifiers
- cross validation
- kernel function
- training examples
- class imbalance
- classification accuracy
- kernel methods
- hyperplane
- data mining
- ensemble methods
- graph cuts
- training data
- feature selection