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M-estimation activation functions for high-performance extreme learning machine ensemble classification

Abstract Machine learning plays a pivotal role in addressing real-world challenges across domains such as cybersecurity, where AI-driven methods, especially in Software-Defined Networking, enhance traffic monitoring and anomaly detection. Contemporary networks often employ models like Random Forests...

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Main Authors: Fathi Alimi, Adnan Khan, Hameed Ali, Mohamed Bouzidi, Abdulrahman Obaid Alshammari, Bakhtiyar Ahmad
Format: Artigo
Language:Inglês
Published: Nature Portfolio 2025-09-01
Series:Scientific Reports
Subjects:
Extreme learning machine (ELM)
M-estimation theory
Activation functions
Psi functions ensemble learning
Classification accuracy
Brier score optimization
Online Access:https://doi.org/10.1038/s41598-025-16798-5
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