Operators for transforming kernels into quasi-local kernels that improve SVM accuracy.
Nicola SegataEnrico BlanzieriPublished in: J. Intell. Inf. Syst. (2011)
Keyphrases
- support vector
- kernel function
- kernel svms
- kernel methods
- svm classification
- multiple kernel learning
- multiple kernel
- support vector machine
- rbf kernel
- feature space
- high accuracy
- prediction accuracy
- decision stumps
- string kernels
- translation invariant
- gaussian kernel
- svm classifier
- polynomial kernels
- feature selection
- logistic regression
- support vector machines for classification
- classification accuracy
- kernel machines
- support vector machine svm
- linear combination
- knn
- linear svm
- tree kernels
- high dimensional
- optimal kernel
- learning machines
- gaussian kernels
- hyperplane
- input space
- learning problems
- pattern recognition
- training set