Generalization of Parameter Selection of SVM and LS-SVM for Regression.
Jiye ZengZheng-Hong TanTsuneo MatsunagaTomoko ShiraiPublished in: Mach. Learn. Knowl. Extr. (2019)
Keyphrases
- ls svm
- parameter selection
- kernel ridge regression
- least squares support vector machine
- support vector
- least squares
- cross validation
- support vector machine
- model selection
- prediction model
- regression model
- variable selection
- hyperparameters
- radial basis function
- generalization ability
- improved algorithm
- parameter estimation
- input variables
- correlation coefficient
- rbf neural network
- svm classifier
- neural network
- multilayer perceptron
- data sets
- feature vectors