Kernel Trees for Support Vector Machines.
Ithipan MethasateThanaruk TheeramunkongPublished in: IEICE Trans. Inf. Syst. (2007)
Keyphrases
- support vector
- large margin classifiers
- learning machines
- kernel function
- kernel methods
- sparse kernel
- kernel parameters
- support vector machine
- rbf kernel
- decision trees
- kernel machines
- binary classification
- polynomial kernels
- multiple kernel learning
- svm classifier
- feature selection
- loss function
- cross validation
- soft margin
- decision function
- radial basis function
- positive definite
- multi class
- maximum margin
- training examples
- generalization ability
- feature space
- classification accuracy
- input space
- tree models
- hyperplane
- tree kernels
- kernel classifiers
- svm classification
- linear svm
- generalization bounds
- tree structures
- kernel matrix
- support vectors
- learning algorithm
- data structure
- similarity measure
- support vector regression
- ls svm
- support vector machine svm
- multi class classification