articleTop 1% cited
Practical selection of SVM parameters and noise estimation for SVM regression
Neural Networks · 2003 · Vol. 17(1) · pp. 113–126
Vladimir Cherkassky✉(University of Minnesota)Yunqian Ma(University of Minnesota)
Advanced Statistical Methods and ModelsFace and Expression RecognitionSpectroscopy and Chemometric AnalysesSupport vector machineRegressionComputer scienceRegression analysisPattern recognition (psychology)Artificial intelligenceGeneralizationSample size determinationStatisticsSelection (genetic algorithm)
MeSH terms
Bayes TheoremModels, TheoreticalRegression AnalysisReproducibility of ResultsNormal DistributionNonlinear Dynamics
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References
Statistical Learning Theory
Technometrics · 1999 · 26,915 citations
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