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

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

Abstract 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 al...

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Bibliographic Details
Main Authors: Liang-Rui Ren, Ying-Lian Gao, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng
Format: Article
Language:English
Published: BMC 2020-10-01
Series:BMC Bioinformatics
Subjects:
Extreme learning machine
Correntropy induced loss
Supervised learning
Bioinformatics
Online Access:http://link.springer.com/article/10.1186/s12859-020-03790-1

Internet

http://link.springer.com/article/10.1186/s12859-020-03790-1

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