On Regularization Based Twin Support Vector Regression with Huber Loss.
Umesh GuptaDeepak GuptaPublished in: Neural Process. Lett. (2021)
Keyphrases
- support vector regression
- robust statistics
- support vector
- solution path
- support vector machine svm
- regression model
- kernel function
- loss function
- hybrid model
- response surface methodology
- hybrid genetic
- extreme learning machine
- support vector classification
- electronic equipment
- wavelet frame
- regularization parameter
- nonlinear regression
- reproducing kernel hilbert space
- quadratic program
- support vector machine
- forecasting accuracy
- anisotropic diffusion
- wavelet neural network
- forecasting model
- cross validation
- hidden markov models
- high dimensional
- data mining