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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Auteur principal:	Hasan Yildirim
Format:	Artigo
Langue:	Inglês
Publié:	IEEE 2024-01-01
Collection:	IEEE Access
Sujets:	Extreme learning machine Liu estimator machine learning multicollinearity ridge estimator Tikhonov regularization
Accès en ligne:	https://ieeexplore.ieee.org/document/10606466/
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