Preprint
Aug 2026
Beyond the Gegenbauer Paradigm: q-Orthogonal Kernels for Machine Learning
This work extends the orthogonal polynomial kernel paradigm by introducing a novel family based on discrete Hermite I polynomials, a class of $q$-orthogonal polynomials that generalize classical Hermite polynomials through a deformation parameter $q$.
Álvaro Sánchez-Paniagua Ríos, J. P. Llerena, Alberto Lastra et al.
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