Tangent Distance Kernels for Support Vector Machines.
Bernard HaasdonkDaniel KeysersPublished in: ICPR (2) (2002)
Keyphrases
- support vector
- large margin classifiers
- learning machines
- tangent distance
- kernel function
- kernel methods
- generalization bounds
- multi class
- multiple kernel learning
- logistic regression
- svm classification
- rbf kernel
- polynomial kernels
- maximum margin
- multi class classification
- generalization ability
- binary classification
- classification accuracy
- support vector machine
- neural network
- cross validation
- margin maximization
- training examples
- soft margin
- feature selection
- radial basis function
- kernel parameters
- gaussian kernels
- kernel machines
- loss function
- learning problems
- model selection
- multiple kernel
- scheduling problem
- support vector machine svm
- feature space
- data dependent