mlsanityData to 14 Oct 2026

Algorithms for the Training of Neural Support Vector Machines

arXiv 2308.07204 ↗First posted 14 Aug 2023cs.LG cs.AIcited by 1

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 2 of its 13 references that are in the map. First posted on arXiv 14 Aug 2023.

Builds on

2 of 13 references.

References · 2

  1. 2013Deep Learning using Linear Support Vector Machinescited by 39
  2. 2023Quantum Kernel Alignment with Stochastic Gradient Descentcited by 14

Built on by

Cited by year

Citing papers per year: 2023: 1.

1 paper.

  1. 2023On Neural Quantum Support Vector Machinescited by 0