A working likelihood approach to support vector regression with a data-driven insensitivity parameter.
Jinran WuYou-Gan WangPublished in: CoRR (2020)
Keyphrases
- support vector regression
- data driven
- optimal parameters
- support vector
- regression model
- hybrid model
- maximum likelihood
- grid search
- extreme learning machine
- support vector machine
- back propagation neural network
- kernel function
- support vector machine svm
- singular spectrum analysis
- response surface methodology
- hybrid genetic
- kernel learning
- nonlinear regression
- neural network
- support vector classification
- wavelet frame
- sequential minimal optimization
- electronic equipment
- data mining
- forecasting accuracy
- learning algorithm
- forecasting model
- input parameters
- parameter settings
- parameter values
- linear regression
- artificial neural networks