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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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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. |
format | Online Article Text |
id | pubmed-9365542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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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