most citedRadial basis function kernel optimization for Support Vector Machine classifiers

14 citations · 14 across the 1 of their papers we have counts for

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1 paper

cs.LG2020★ 14 cited

Radial basis function kernel optimization for Support Vector Machine classifiers

Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Miguel A. Molina-Cabello +1

Support Vector Machines (SVMs) are still one of the most popular and precise classifiers. The Radial Basis Function (RBF) kernel has been used in SVMs to separate among classes wit…