Extremal optimization for optimizing kernel function and its parameters in support vector regression.
Peng ChenYong-Zai LuPublished in: J. Zhejiang Univ. Sci. C (2011)
Keyphrases
- support vector regression
- kernel function
- extremal optimization
- response surface methodology
- kernel parameters
- optimal parameters
- support vector
- kernel methods
- support vector machine
- feature space
- kernel learning
- high dimensional
- input space
- regression model
- hybrid model
- support vector classification
- pattern recognition
- simulated annealing
- data sets
- support vector machine svm
- regression method
- k nearest neighbor
- genetic programming
- evolutionary search
- objective function