(kappa) LCPs based on kernel functions.
Gyeong-Mi ChoMin-Kyung KimPublished in: Appl. Math. Comput. (2006)
Keyphrases
- kernel function
- support vector
- kernel methods
- feature space
- input space
- support vector machine
- high dimensional
- high dimensional feature space
- support vector regression
- kernel learning
- kernel matrix
- svm classifier
- feature maps
- svm classification
- hyperplane
- gaussian kernels
- kernel matrices
- polynomial kernels
- dot product
- support vectors
- learning problems
- feature set
- reproducing kernel hilbert space
- kernel trick
- pairwise
- positive semidefinite
- image processing
- feature selection