Tuning and evolution of support vector kernels.
Patrick KochBernd BischlOliver FlaschThomas Bartz-BeielsteinClaus WeihsWolfgang KonenPublished in: Evol. Intell. (2012)
Keyphrases
- support vector
- kernel function
- kernel methods
- svm classification
- rbf kernel
- margin maximization
- support vector machine
- learning machines
- logistic regression
- cross validation
- kernel parameters
- feature selection
- kernel machines
- support vector classification
- support vectors
- binary classification
- classification accuracy
- polynomial kernels
- svm classifier
- radial basis function
- hyperplane
- large margin classifiers
- machine learning
- generalization ability
- gaussian processes
- loss function
- feature space
- tuning parameters
- learning tasks
- standard svm
- training examples
- active learning
- pairwise
- decision trees
- learning algorithm