Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification

BACKGROUND: As a machine learning method with high performance and excellent generalization ability, extreme learning machine (ELM) is gaining popularity in various studies. Various ELM-based methods for different fields have been proposed. However, the robustness to noise and outliers is always the...

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Detalles Bibliográficos
Autores principales: Ren, Liang-Rui, Gao, Ying-Lian, Liu, Jin-Xing, Shang, Junliang, Zheng, Chun-Hou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542897/
https://www.ncbi.nlm.nih.gov/pubmed/33028187
http://dx.doi.org/10.1186/s12859-020-03790-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542897/
https://www.ncbi.nlm.nih.gov/pubmed/33028187
http://dx.doi.org/10.1186/s12859-020-03790-1

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