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SVM with Orthogonal Polynomial-Based Kernels:Theory and Applications, Lino Gustavo Garza Gaona
Автор: Ibero-American Seminar
Загружено: 2025-10-31
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[31/10/2025] SVM with Orthogonal Polynomial-Based Kernels:Theory and Applications, Lino Gustavo Garza Gaona, Universidad de Monterrey, México.
Abstract: In this work, we explore the use of orthogonal polynomials in constructing kernel functions for Support Vector Machines (SVM). We present some applications of this classification algorithm and a comparative study of the performance of these orthogonal-polynomial-based kernels against traditional constructions.
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