Entropy Randomization in Machine Learning - Couverture rigide

Popkov, Yuri S.; Popkov, Alexey Yu.; Dubnov, Yuri A.

Couverture rigide

ISBN 10 : 1032306289 ISBN 13 : 9781032306285

Editeur : Chapman and Hall/CRC, 2022

Synopsis

Entropy Randomization in Machine Learning presents a new approach to machine learning - entropy randomization - to obtain optimal solutions under uncertainty (uncertain data and models of the objects under study).

A propos du livre

À propos de l?auteur

Yuri S. Popkov: Doctor of Engineering, Professor, Academician of Russian Academy of Sciences; Chief Researcher at Federal Research Center "Computer Science and Control," Russian Academy of Sciences; Chief Researcher at Trapeznikov Institute of Control Sciences, Russian Academy of Sciences; Professor at Lomonosov Moscow State University. Author of more than 250 scientific publications, including 15 monographs. His research interests include stochastic dynamic systems, optimization, machine learning, and macrosystem modeling.

Alexey Yu. Popkov: Candidate of Sciences, Leading Researcher at Federal Research Center "Computer Science and Control," Russian Academy of Sciences; author of 47 scientific publications. His research interests include software engineering, high-performance computing, data mining, machine learning, and entropy methods.

Yuri A. Dubnov: MSc in Physics, Researcher at Federal Research Center "Computer Science and Control," Russian Academy of Sciences. Author of more than 18 scientific publications. His research interests include machine learning, forecasting, randomized approaches, and Bayesian estimation.

Détails de l'édition

• Éditeur: Chapman and Hall/CRC
• Date d'édition: 2022
• Langue: anglais
• ISBN 10: 1032306289
• ISBN 13: 9781032306285
• Reliure: Relié
• Nombre de pages: 404
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Allemagne