Genetically Constructed Kernels for Support Vector Machines.
Stefan LessmannRobert StahlbockSven F. CronePublished in: OR (2005)
Keyphrases
- support vector
- large margin classifiers
- learning machines
- kernel function
- kernel methods
- multi class
- logistic regression
- support vector machine
- rbf kernel
- genetic programming
- polynomial kernels
- feature selection
- multiple kernel learning
- hyperplane
- svm classification
- cross validation
- loss function
- generalization bounds
- support vector regression
- binary classification
- training examples
- ensemble learning
- training data
- kernel parameters
- soft margin
- decision function
- maximum margin
- neural network
- learning algorithm
- string kernels
- high dimensional
- classification accuracy
- multi class classification
- image classification
- vc dimension
- support vectors
- data sets