A working likelihood approach to support vector regression with a data-driven insensitivity parameter.
Jinran WuYou-Gan WangPublished in: Int. J. Mach. Learn. Cybern. (2023)
Keyphrases
- support vector regression
- data driven
- optimal parameters
- regression model
- support vector
- hybrid genetic
- support vector classification
- back propagation neural network
- kernel function
- response surface methodology
- hybrid model
- grid search
- wavelet frame
- extreme learning machine
- parameter values
- maximum likelihood
- singular spectrum analysis
- wavelet neural network
- kernel learning
- support vector machine
- nonlinear regression
- parameter settings
- support vector machine svm
- pattern recognition
- forecasting model
- solution path
- input parameters