Work

Algorithms for the Training of Neural Support Vector Machines

Year: 2023

Type: preprint

Abstract: 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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2308.07204

Authors: Simon, Lars, Radons, Manuel

Institution: Bundesdruckerei (Germany)

Language: English

Topic: Neural Networks and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4385849323

Cites:

Cited by: 1

Related to: 10