Learning a Weighted Meta-Sample Based Parameter Free Sparse Representation Classification for Microarray Data

Sparse representation classification (SRC) is one of the most promising classification methods for supervised learning. This method can effectively exploit discriminating information by introducing a [Image: see text] regularization terms to the data. With the desirable property of sparisty, SRC is...

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Detalles Bibliográficos
Autores principales: Liao, Bo, Jiang, Yan, Yuan, Guanqun, Zhu, Wen, Cai, Lijun, Cao, Zhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4130588/
https://www.ncbi.nlm.nih.gov/pubmed/25115965
http://dx.doi.org/10.1371/journal.pone.0104314

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4130588/
https://www.ncbi.nlm.nih.gov/pubmed/25115965
http://dx.doi.org/10.1371/journal.pone.0104314

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