On lp-Support Vector Machines and Multidimensional Kernels.
Víctor BlancoJusto PuertoAntonio M. Rodríguez-ChíaPublished in: J. Mach. Learn. Res. (2020)
Keyphrases
- support vector
- large margin classifiers
- learning machines
- kernel function
- kernel methods
- multi class
- support vector machine
- generalization bounds
- linear programming
- multiple kernel learning
- maximum margin
- logistic regression
- svm classifier
- cross validation
- binary classification
- feature selection
- kernel parameters
- multidimensional data
- polynomial kernels
- classification accuracy
- hyperplane
- generalization ability
- support vector regression
- rbf kernel
- loss function
- soft margin
- decision function
- objective function
- svm classification
- kernel machines
- radial basis function
- linear program
- linear svm
- multi class classification
- multi dimensional
- np hard
- margin maximization
- support vector classification