Weighted p-norm distance t kernel SVM classification algorithm based on improved polarization

The kernel function in SVM enables linear segmentation in a feature space for a large number of linear inseparable data. The kernel function that is selected directly affects the classification performance of SVM. To improve the applicability and classification prediction effect of SVM in different...

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Detalles Bibliográficos
Autores principales: Liu, Wenbo, Liang, Shengnan, Qin, Xiwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008017/
https://www.ncbi.nlm.nih.gov/pubmed/35418133
http://dx.doi.org/10.1038/s41598-022-09766-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008017/
https://www.ncbi.nlm.nih.gov/pubmed/35418133
http://dx.doi.org/10.1038/s41598-022-09766-w

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