Kernel density estimation (KDE) and nonparametric methods form a cornerstone of contemporary statistical analysis. Unlike parametric approaches that assume a specific functional form for the ...

Kernel methods and support vector machines (SVMs) serve as cornerstones in modern machine learning, offering robust techniques for both classification and regression tasks. At their core, kernel ...

This is a preview. Log in through your library . Abstract A fast implementation of a method to compute the Riemann mapping function is presented. The method has been recently introduced by N. Kerzman ...