Polynomial expansion of the binary classification function

Abstract

This paper describes a novel method to approximate the polynomial coefficients of regression functions, with particular interest on multi-dimensional classification. The derivation is simple, and offers a fast, robust classification technique that is resistant to over-fitting.

6 pages, 6 figures. Submitted to JMLR, pending decision