Kernel second-order discriminants versus support vector machines.
Fahed AbdallahCédric RichardRégis LengelléPublished in: ICASSP (6) (2003)
Keyphrases
- support vector
- large margin classifiers
- learning machines
- kernel function
- hyperplane
- kernel methods
- sparse kernel
- kernel machines
- kernel parameters
- decision function
- logistic regression
- rbf kernel
- support vector machine
- multi class
- training examples
- cross validation
- maximum margin
- multi class classification
- polynomial kernels
- support vector regression
- feature selection
- classification accuracy
- svm classifier
- generalization ability
- multiple kernel learning
- loss function
- higher order
- radial basis function
- neural network
- soft margin
- svm classification
- kernel learning
- discriminant analysis
- graph kernels
- positive definite
- linear svm
- reduced set
- generalization bounds
- model selection
- linear discriminant analysis
- high dimensional
- feature space
- gaussian processes