Addressing feature selection and extreme learning machine tuning by diversity-oriented social network search: an application for phishing websites detection

Abstract Feature selection and hyper-parameters optimization (tuning) are two of the most important and challenging tasks in machine learning. To achieve satisfying performance, every machine learning model has to be adjusted for a specific problem, as the efficient universal approach does not exist...

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Hlavní autoři:	Nebojsa Bacanin, Miodrag Zivkovic, Milos Antonijevic, K. Venkatachalam, Jinseok Lee, Yunyoung Nam, Marina Marjanovic, Ivana Strumberger, Mohamed Abouhawwash
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Springer 2023-06-01
Edice:	Complex & Intelligent Systems
Témata:	Extreme learning machine Feature selection Metaheuristics optimization Social network search Hyper-parameters optimization Diversification
On-line přístup:	https://doi.org/10.1007/s40747-023-01118-z
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