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Metaheuristics for Machine Learning

New Advances and Tools
LivreCartonné
Classement des ventes 25321dans
CHF198.00

Description

Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems.

Détails

ISBN/GTIN978-981-19-3890-0
Type de produitLivre
ReliureCartonné
ÉditeurSpringer
Date de parution15.03.2024
Edition2023
Pages223 pages
LangueAnglais
DimensionsLargeur 155 mm, Hauteur 235 mm, Épaisseur 14 mm
Poids371 g
N° article49787423
CataloguesBuchzentrum
Source des données n°46153787
Plus de détails

Série

Auteur

Mansour Eddaly is an assistant professor in the College of Business and Economics at Qassim University (KSA). His current research interests mainly involve combinatorial optimization, metaheuristics, and computational intelligence.Bassem Jarboui is Full Professor of Operational Research at Sfax University, Tunisia, where he also completed his PhD. Currently, he is working at the Higher Colleges of Technology, Abu Dhabi, UAE. He has edited seven books and two special journal issues. He has also organized and chaired five international conferences. He has published over 130 scientific papers, including articles, contributions to edited proceedings, and book chapters.Patrick Siarry received his PhD from the University of Paris 6 in 1986 and his Doctor of Sciences (Habilitation) from the University of Paris 11 in 1994. He first became involved in the development of analogue and digital models of nuclear power plants at Électricité de France (E.D.F.). He has been Professor of Automatics and Informatics since 1995. His main research interest is in the applications of new stochastic global optimization heuristics to various engineering fields.

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