Relationship Between Support Vector Set and Kernel Functions in SVM.
Ling ZhangBo ZhangPublished in: J. Comput. Sci. Technol. (2002)
Keyphrases
- kernel function
- support vector
- kernel methods
- support vector machine
- support vectors
- svm classifier
- svm classification
- feature set
- polynomial kernels
- input space
- support vector regression
- binary classification
- support vector machine svm
- feature space
- hyperplane
- generalization ability
- kernel matrix
- feature selection
- kernel parameters
- training dataset
- classification accuracy
- high dimensional feature space
- learning machines
- loss function
- training examples
- neural network
- rbf kernel
- large margin classifiers
- maximum margin
- radial basis function
- data points
- feature vectors
- feature extraction