Evolving kernel functions for SVMs by genetic programming.
Laura DiosanAlexandrina RogozanJean-Pierre PécuchetPublished in: ICMLA (2007)
Keyphrases
- kernel function
- genetic programming
- support vector
- support vectors
- kernel methods
- feature space
- support vector machine
- input space
- support vector regression
- high dimensional
- kernel principal component analysis
- high dimensional feature space
- svm classifier
- evolutionary algorithm
- hyperplane
- polynomial kernels
- kernel matrix
- rbf kernel
- kernel learning
- svm classification
- data sets
- feature selection
- feature set
- active learning
- multiple kernel learning
- gaussian kernels
- kernel matrices
- learning theory
- kernel pca
- feature maps
- image processing
- machine learning