Sparse Multicategory Generalized Distance Weighted Discrimination in Ultra-High Dimensions

Distance weighted discrimination (DWD) is an appealing classification method that is capable of overcoming data piling problems in high-dimensional settings. Especially when various sparsity structures are assumed in these settings, variable selection in multicategory classification poses great chal...

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Detalles Bibliográficos
Autores principales: Su, Tong, Wang, Yafei, Liu, Yi, Branton, William G., Asahchop, Eugene, Power, Christopher, Jiang, Bei, Kong, Linglong, Tang, Niansheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712546/
https://www.ncbi.nlm.nih.gov/pubmed/33287025
http://dx.doi.org/10.3390/e22111257

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712546/
https://www.ncbi.nlm.nih.gov/pubmed/33287025
http://dx.doi.org/10.3390/e22111257

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