Binary Classification Based on Potentials
Machine Learning
2008-12-17 v2
Abstract
We introduce a simple and computationally trivial method for binary classification based on the evaluation of potential functions. We demonstrate that despite the conceptual and computational simplicity of the method its performance can match or exceed that of standard Support Vector Machine methods.
Cite
@article{arxiv.0812.3145,
title = {Binary Classification Based on Potentials},
author = {Erik Boczko and Andrew DiLullo and Todd Young},
journal= {arXiv preprint arXiv:0812.3145},
year = {2008}
}
Comments
5 pages, 2 figures. Presented at the Ohio Collaborative Conference on Bioinformatics (OCCBIO) June 2006