Autocorrelation Kernel Functions for Support Vector Machines.
Rui KongBing ZhangPublished in: ICNC (1) (2007)
Keyphrases
- kernel function
- support vector
- large margin classifiers
- learning machines
- kernel methods
- feature space
- support vector machine
- input space
- support vectors
- svm classifier
- support vector regression
- svm classification
- higher order
- rbf kernel
- kernel matrix
- kernel parameters
- high dimensional
- non stationary
- kernel learning
- binary classification
- gaussian kernels
- hyperplane
- cross validation
- polynomial kernels
- radial basis function
- feature set
- classification accuracy
- multiple kernel learning
- reproducing kernel hilbert space
- image processing
- kernel machines
- high dimensional feature space
- kernel matrices
- neural network
- optimal kernel
- generalization ability
- learning tasks
- loss function
- training examples
- special case
- feature selection