Evolving Kernel Functions with Particle Swarms and Genetic Programming.
Michael A. SchuhRafal A. AngrykJohn W. SheppardPublished in: FLAIRS Conference (2012)
Keyphrases
- kernel function
- genetic programming
- kernel methods
- support vector
- fitness function
- support vector machine
- input space
- feature space
- particle swarm optimization
- evolutionary algorithm
- support vector regression
- feature maps
- polynomial kernels
- kernel matrix
- support vectors
- svm classifier
- gaussian kernels
- kernel matrices
- hyperplane
- high dimensional
- kernel trick
- high dimensional feature space
- kernel learning
- dot product
- svm classification
- learning tasks
- reproducing kernel hilbert space
- training examples
- support vector machine svm
- positive semidefinite
- multi objective
- genetic algorithm