Scaling the Kernel Function to Improve Performance of the Support Vector Machine.
Peter WilliamsSheng LiJianfeng FengSi WuPublished in: ISNN (1) (2005)
Keyphrases
- kernel function
- support vector machine
- support vector
- kernel methods
- input space
- svm classifier
- multi class
- machine learning
- feature space
- support vector regression
- kernel parameters
- positive definite
- support vectors
- hyperplane
- high dimensional feature space
- support vector machine svm
- feature selection
- generalization ability
- kernel matrix
- learning algorithm
- polynomial kernels
- wavelet support vector machine
- data mining
- feature vectors
- reproducing kernel hilbert space
- kernel machines
- svm classification
- high dimensional
- gaussian kernels
- kernel trick
- rbf kernel