Evolving Sum and Composite Kernel Functions for Regularization Networks.
Petra VidnerováRoman NerudaPublished in: ICANNGA (1) (2011)
Keyphrases
- kernel function
- kernel matrices
- reproducing kernel hilbert space
- kernel methods
- support vector
- polynomial kernels
- support vector machine
- gaussian kernels
- feature space
- support vector regression
- input space
- kernel machines
- representer theorem
- high dimensional feature space
- hyperplane
- kernel matrix
- high dimensional
- svm classifier
- optimal kernel
- feature maps
- support vectors
- kernel learning
- learning rate
- learning problems
- neural network