Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error.
Ginés RubioHéctor PomaresIgnacio RojasLuis Javier HerreraAlberto GuillénPublished in: ICANN (2) (2009)
Keyphrases
- cross validation
- ls svm
- model selection
- hyperparameters
- efficient optimization
- least squares support vector machine
- generalization error
- variable selection
- support vector
- parameter estimation
- input variables
- regression model
- least squares
- training set
- machine learning
- parameter settings
- ls svms
- sample size
- maximum likelihood
- optimization methods
- parameter space
- denoising
- decision trees
- feature selection
- data sets