Format:
1 Online-Ressource (300 pages)
Edition:
Second edition
ISBN:
9789811201967
,
9789811201974
Series Statement:
Series in machine perception and artificial intelligence volume 85
Content:
"This updated compendium provides a methodical introduction with a coherent and unified repository of ensemble methods, theories, trends, challenges, and applications. More than a third of this edition comprised of new materials, highlighting descriptions of the classic methods, and extensions and novel approaches that have recently been introduced. Along with algorithmic descriptions of each method, the settings in which each method is applicable and the consequences and tradeoffs incurred by using the method is succinctly featured. R code for implementation of the algorithm is also emphasized. The unique volume provides researchers, students and practitioners in industry with a comprehensive, concise and convenient resource on ensemble learning methods."--
Note:
Includes bibliographical references and index
Additional Edition:
ISBN 9789811201950
Additional Edition:
Erscheint auch als Druckausgabe Rokach, Lior Ensemble learning New Jersey : World Scientific, 2019 ISBN 9789811201950
Language:
English
Keywords:
Maschinelles Lernen
;
Mustererkennung
;
Algorithmus
;
Electronic books
URL:
https://doi.org/10.1142/11325
URL:
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