Gradient Flows for L2 Support Vector Machine Training
Machine Learning
2022-08-10 v1
Abstract
We explore the merits of training of support vector machines for binary classification by means of solving systems of ordinary differential equations. We thus assume a continuous time perspective on a machine learning problem which may be of interest for implementations on (re)emerging hardware platforms such as analog- or quantum computers.
Cite
@article{arxiv.2208.04365,
title = {Gradient Flows for L2 Support Vector Machine Training},
author = {Christian Bauckhage and Helen Schneider and Benjamin Wulff and Rafet Sifa},
journal= {arXiv preprint arXiv:2208.04365},
year = {2022}
}
Comments
Peer-reviewed and presented as part of the workshop on Continuous Time Methods for Machine Learning at the 39th International Conference on Machine Learning, Baltimore, Maryland, USA, 2022