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...

Cijeli opis

Bibliografski detalji

Glavni autori:	Tong Su, Yafei Wang, Yi Liu, William G. Branton, Eugene Asahchop, Christopher Power, Bei Jiang, Linglong Kong, Niansheng Tang
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2020-11-01
Serija:	Entropy
Teme:	high dimension multicategory classification DWD sparse group lasso <i>L<sub>2</sub></i>-consistency proximal algorithm
Online pristup:	https://www.mdpi.com/1099-4300/22/11/1257
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!