Optimization Over Zonotopes and Training Support Vector Machines
Computational Geometry
2007-05-23 v1 Artificial Intelligence
Abstract
We make a connection between classical polytopes called zonotopes and Support Vector Machine (SVM) classifiers. We combine this connection with the ellipsoid method to give some new theoretical results on training SVMs. We also describe some special properties of soft margin C-SVMs as parameter C goes to infinity.
Keywords
Cite
@article{arxiv.cs/0105017,
title = {Optimization Over Zonotopes and Training Support Vector Machines},
author = {Marshall Bern and David Eppstein},
journal= {arXiv preprint arXiv:cs/0105017},
year = {2007}
}
Comments
To appear in Workshop on Algorithms and Data Structures, 2001