3 papers
cs.LG2026
Beyond the Gegenbauer Paradigm: q-Orthogonal Kernels for Machine Learning
Ãlvaro Sánchez-Paniagua RÃos, Álvaro Sánchez-Paniagua Ríos, Juan P. Llerena +3
The performance of Support Vector Machines (SVMs) critically depends on the kernel function choice, which enables implicit mapping of data into high-dimensional feature spaces. Whi…
math.CV2025
Dunkl derivative from moment differentiation
Edmundo J. Huertas, Alberto Lastra, Judit Minguez Ceniceros
The work analyzes the theory of Dunkl operator as a moment differential operator. This last operator generalizes the first one whenever the sequence of moments satisfies appropriat…
math.CA2024
Symmetric Truncated Freud polynomials
Edmundo J. Huertas, Alberto Lastra, Francisco Marcellán +1
We define the family of symmetric truncated Freud polynomials , orthogonal with respect to the linear functional defined by \begin{equation*} \langle \mathbf…