CC BY-NC-ND 4.0Bauckhage, ChristianChristianBauckhageSchneider, HelenHelenSchneiderWulff, BenjaminBenjaminWulffSifa, RafetRafetSifa2022-11-282022-11-282022-08-08https://publica.fraunhofer.de/handle/publica/429221https://doi.org/10.24406/publica-56010.48550/arXiv.2208.0436510.24406/publica-560We 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.enpaper