Leave-one-out cross-validation-based model selection for multi-input multi-output support vector machine

Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation

(2011) D. Tuia et al.   IEEE Geoscience and Remote Sensing Letters

Research of load identification based on multiple-input multiple-output SVM model selection

(2011) W Mao et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

Model selection for least squares support vector regressions based on small-world strategy

(2010) Wentao Mao et al.   EXPERT SYSTEMS WITH APPLICATIONS

Tuning SVM parameters by using a hybrid CLPSO–BFGS algorithm

(2010) Shutao Li et al.   NEUROCOMPUTING

Fast and Efficient Strategies for Model Selection of Gaussian Support Vector Machine

(2009) Zongben Xu et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Selecting of the optimal feature subset and kernel parameters in digital modulation classification by using hybrid genetic algorithm–support vector machines: HGASVM

(2007) Engin Avci   EXPERT SYSTEMS WITH APPLICATIONS