Binary Classification Based on Potentials

Thumbnail Image

Date

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Description

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.
5 pages, 2 figures. Presented at the Ohio Collaborative Conference on Bioinformatics (OCCBIO) June 2006

Keywords

Machine Learning

Citation

URI

http://salesiana.dossiersoluciones.com/handle/123456789/210829

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/0812.3145
 http://arxiv.org/abs/0812.3145

Collections

arXiv