Ensemble learning : pattern classification using ensemble methods

    • Rokach, Lior

著者

    • Rokach, Lior

書誌事項

Ensemble learning : pattern classification using ensemble methods

Lior Rokach

(Series in machine perception and artificial intelligence / editors, H. Bunke, P.S.P. Wang, v. 85)

World Scientific, c2019

2nd ed

大学図書館所蔵 件 / 全3件

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注記

Includes bibliographical references (p. 239-280) and index

内容説明・目次

内容説明

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.

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