Algorithms for the Training of Neural Support Vector Machines
Lars Simon Manuel Radons
Neural support vector machines (NSVMs) allow for the incorporation of domain
knowledge in the design of the model architecture. In this article we introduce
a set of training algorithms for NSVMs that leverage the Pegasos algorithm and
provide a proof of concept by solving a set of standard machine learning tasks.