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Weighted p-norm distance t kernel SVM classification algorithm based on improved polarization
Abstract 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 d...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2022-04-01
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| Colecção: | Scientific Reports |
| Acesso em linha: | https://doi.org/10.1038/s41598-022-09766-w |
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