Novel Statistical Regularized Extreme Learning Algorithm to Address the Multicollinearity in Machine Learning

The multicollinearity problem is a common phenomenon in data-driven studies, significantly affecting the performance of machine learning algorithms during the process of extracting information from data. Despite its widespread use across various fields, the extreme learning machine (ELM) also suffer...

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Bibliographic Details

Published in:	IEEE Access
Main Author:	Hasan Yildirim
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Extreme learning machine Liu estimator machine learning multicollinearity ridge estimator Tikhonov regularization
Online Access:	https://ieeexplore.ieee.org/document/10606466/