Universal consistency of twin support vector machines.
Weixia XuDingjiang HuangShuigeng ZhouPublished in: Int. J. Mach. Learn. Cybern. (2021)
Keyphrases
- support vector
- large margin classifiers
- learning machines
- turing machine
- kernel function
- logistic regression
- generalization ability
- kernel methods
- classification accuracy
- support vector machine
- neural network
- cross validation
- radial basis function
- data sets
- binary classification
- global constraints
- feature selection
- maximum margin
- consistency checking
- decision function
- multiple kernel learning
- genetic algorithm
- soft margin
- global consistency
- path consistency
- svm classifier