Kernel Selection for the Support Vector Machine.
Rameswar DebnathHaruhisa TakahashiPublished in: IEICE Trans. Inf. Syst. (2004)
Keyphrases
- support vector machine
- kernel function
- kernel methods
- support vector
- svm classifier
- multi class
- svm classification
- feature space
- decision function
- support vector machine svm
- pre selected
- feature vectors
- polynomial kernels
- kernel regression
- kernel pca
- multiple kernel
- gaussian kernel
- selection algorithm
- reproducing kernel hilbert space
- gaussian processes
- machine learning
- decision boundary
- kernel learning
- selection strategy
- hyperplane
- kernel principal component analysis
- input space
- classification method
- rbf kernel
- training data
- learning algorithm