Binary Archimedes Optimization Algorithm based Feature Selection for Regression Problem

The use of datasets became paramount in many searches in one hand, on the other hand the rapidly growth of data size involves computational complexity and reduces model performances, this encourage us to find new methods to deal with this problem. Features Selection is the one of the main task used...

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Veröffentlicht in:	2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) S. 1 - 7
Hauptverfasser:	Amine, Djermane, Hichem, Haouassi, Soumia, Zertal
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 12.10.2022
Schlagworte:	Archimedes optimization algorithm Classification algorithms Data mining Data models Feature extraction feature selection Metaheuristics Prediction algorithms Predictive models regression Search problems swarm-based optimization
Online-Zugang:	Volltext
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