Education Support Vector Kernel Theory: Mapping input data to high-dimensional feature spaces using Mercer’s condition for non-linear separation (and why it yields smooth decision functions)By SeanMarch 13, 2026 Support Vector Machines (SVMs) are often introduced as “maximum-margin” classifiers that draw a separating boundary between classes. That story is…
