Spotlight
in
Workshop: Continuous Time Perspectives in Machine Learning

Gradient Flows for L2 Support Vector Machine Training

Christian Bauckhage ⋅ Rafet Sifa ⋅ Helen Schneider ⋅ Benjamin Wulff

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.

Video

Chat is not available.