Twin proximal least squares support vector regression machine based on heteroscedastic Gaussian nois...
Twin proximal least squares support vector regression machine based on heteroscedastic Gaussian noise
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Publisher
Amsterdam: IOS Press BV
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Language
English
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Amsterdam: IOS Press BV
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Twin proximal support vector regression is a new regression machine designed by using twin support vector machine and proximal support vector regression. In this paper, we use the above models framework to build a new regression model, called the twin proximal least squares support vector regression model based on heteroscedastic Gaussian noise (TP...
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Full title
Twin proximal least squares support vector regression machine based on heteroscedastic Gaussian noise
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TN_cdi_proquest_journals_2771065475
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2771065475
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ISSN
1064-1246
E-ISSN
1875-8967
DOI
10.3233/JIFS-211631
