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Micro Learning Support Vector Machine for Pattern Classification: A High-Speed Algorithm

The support vector machine theory has been developed into a very mature system at present. The original support vector machine to solve the optimization problem is transformed into a direct calculation formula of line in this paper and the model is o(n(2)) time complexity. In the model of this artic...

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Detalles Bibliográficos
Autores principales: Yan, Yu, Wang, Yiming, Lei, Yiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365542/
https://www.ncbi.nlm.nih.gov/pubmed/35965778
http://dx.doi.org/10.1155/2022/4707637
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author Yan, Yu
Wang, Yiming
Lei, Yiming
author_facet Yan, Yu
Wang, Yiming
Lei, Yiming
author_sort Yan, Yu
collection PubMed
description The support vector machine theory has been developed into a very mature system at present. The original support vector machine to solve the optimization problem is transformed into a direct calculation formula of line in this paper and the model is o(n(2)) time complexity. In the model of this article, weited theory, multiclassification problem and online learning have all become the direct inference, and we have applied the new model to the UCI data set. We hope that in the future, this model will be useful in real-world problems such as stock forecasting, which require nonlinear hi-speed algorithms.
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spelling pubmed-93655422022-08-11 Micro Learning Support Vector Machine for Pattern Classification: A High-Speed Algorithm Yan, Yu Wang, Yiming Lei, Yiming Comput Intell Neurosci Research Article The support vector machine theory has been developed into a very mature system at present. The original support vector machine to solve the optimization problem is transformed into a direct calculation formula of line in this paper and the model is o(n(2)) time complexity. In the model of this article, weited theory, multiclassification problem and online learning have all become the direct inference, and we have applied the new model to the UCI data set. We hope that in the future, this model will be useful in real-world problems such as stock forecasting, which require nonlinear hi-speed algorithms. Hindawi 2022-08-03 /pmc/articles/PMC9365542/ /pubmed/35965778 http://dx.doi.org/10.1155/2022/4707637 Text en Copyright © 2022 Yu Yan et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yan, Yu
Wang, Yiming
Lei, Yiming
Micro Learning Support Vector Machine for Pattern Classification: A High-Speed Algorithm
title Micro Learning Support Vector Machine for Pattern Classification: A High-Speed Algorithm
title_full Micro Learning Support Vector Machine for Pattern Classification: A High-Speed Algorithm
title_fullStr Micro Learning Support Vector Machine for Pattern Classification: A High-Speed Algorithm
title_full_unstemmed Micro Learning Support Vector Machine for Pattern Classification: A High-Speed Algorithm
title_short Micro Learning Support Vector Machine for Pattern Classification: A High-Speed Algorithm
title_sort micro learning support vector machine for pattern classification: a high-speed algorithm
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365542/
https://www.ncbi.nlm.nih.gov/pubmed/35965778
http://dx.doi.org/10.1155/2022/4707637
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