Algorithms for the Training of Neural Support Vector Machines

Autor:	Simon, Lars, Radons, Manuel
Rok vydání:	2023
Předmět:	Computer Science - Machine Learning Computer Science - Artificial Intelligence 68T99
Druh dokumentu:	Working Paper
Popis:	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. Comment: 19 pages, 0 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2308.07204 Zobrazit plný text záznamu View this record from Arxiv