An uncertain support vector machine based on soft margin method

Traditional support vector machines (SVMs) play an important role in the classification of precise data. However, due to various reasons, available data are sometimes imprecise. In this paper, uncertain variables are adopted to describe the imprecise data, and an uncertain support vector machine (US...

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Detalles Bibliográficos
Autores principales: Li, Qiqi, Qin, Zhongfeng, Liu, Zhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519407/
https://www.ncbi.nlm.nih.gov/pubmed/36193248
http://dx.doi.org/10.1007/s12652-022-04385-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519407/
https://www.ncbi.nlm.nih.gov/pubmed/36193248
http://dx.doi.org/10.1007/s12652-022-04385-9

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