Polynomial expansion of the binary classification function
Machine Learning
2012-03-27 v1
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.
Cite
@article{arxiv.1203.5647,
title = {Polynomial expansion of the binary classification function},
author = {Péter Kövesárki},
journal= {arXiv preprint arXiv:1203.5647},
year = {2012}
}
Comments
6 pages, 6 figures. Submitted to JMLR, pending decision