Conditional max-preserving normalization: an innovative approach to combining diverse classification models

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Conditional max-preserving normalization: an innovative approach to combining diverse classification models

Ensemble learning is a widely recognized technique in Artificial Intelligence that boosts model performance by combining predictions from multiple classifiers. While traditional ensemble methods effectively combine classifiers within the same domain, they face challenges when integrating models that...

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Bibliographic Details
Main Authors:	Najafabadi, Amin Arab, Nejati, Faranak, Yap, Ng Keng, Md. Sultan, Abu Bakar, Ali, Mohamed Abdullahi, Ashani, Zahra Nazemi
Format:	Article
Language:	English
Published:	Indonesian Society for Knowledge and Human Development 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/118444/ http://psasir.upm.edu.my/id/eprint/118444/1/118444.pdf

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