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  4. Gradient Flows for L2 Support Vector Machine Training
 
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08 August 2022
Paper (Preprint, Research Paper, Review Paper, White Paper, etc.)
Titel

Gradient Flows for L2 Support Vector Machine Training

Titel Supplements
Published on arXiv
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.
Author(s)
Bauckhage, Christian
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS
Schneider, Helen
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS
Wulff, Benjamin
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS
Sifa, Rafet
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS
Project(s)
ML2R
Funder
Bundesministerium für Bildung und Forschung -BMBF-
Konferenz
International Conference on Machine Learning 2022
DOI
10.48550/arXiv.2208.04365
10.24406/publica-560
File(s)
Gradient-Flows_Bauckhage_LION22.pdf (591.03 KB)
Language
English
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Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS
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