Tuning of the hyperparameters for L2-loss SVMs with the RBF kernel by the maximum-margin principle and the jackknife technique.
Chin-Chun ChangShen-Huan ChouPublished in: Pattern Recognit. (2015)
Keyphrases
- maximum margin
- hyperparameters
- support vector
- rbf kernel
- cross validation
- kernel function
- radial basis function
- support vector machine
- gaussian process
- hyperplane
- gaussian processes
- loss function
- svm classifier
- kernel methods
- ls svm
- support vectors
- generalization ability
- feature selection
- model selection
- closed form
- image reconstruction
- dimensionality reduction
- image processing