A Fractional Fox H-Function Kernel for Support Vector Machines: Robust Classification via Weighted Transmutation Operators
A Fractional Fox H-Function Kernel for Support Vector Machines: Robust Classification via Weighted Transmutation Operators explores Introducing the Fox-Dorrego Kernel for SVMs, enhancing classification robustness against outliers.. Commercial viability score: 4/10 in Support Vector Machines.
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