Bouligand Derivatives and Robustness of Support Vector Machines for Regression.
Andreas ChristmannArnout Van MessemPublished in: J. Mach. Learn. Res. (2008)
Keyphrases
- support vector
- learning machines
- large margin classifiers
- regression problems
- support vector regression
- kernel function
- cross validation
- higher order
- generalization ability
- structural risk minimization
- model selection
- support vector machine
- regression model
- soft margin
- classification accuracy
- binary classification
- feature selection
- kernel methods
- radial basis function
- ensemble learning
- regression analysis
- polynomial regression
- multi class classification
- hyperplane
- training examples
- logistic regression
- support vectors
- generalization error
- multi class
- regression methods
- ridge regression
- artificial neural networks
- svm classifier