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Pattern classification using ensemble methods /
Researchers from various disciplines such as pattern recognition, statistics, and machine learning have explored the use of ensemble methodology since the late seventies. Thus, they are faced with a wide variety of methods, given the growing interest in the field. This book aims to impose a degree o...
| Cote: | Libro Electrónico |
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| Auteur principal: | |
| Format: | Électronique eBook |
| Langue: | Inglés |
| Publié: |
Hackensack, N.J. ; London :
World Scientific,
©2010.
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| Collection: | Series in machine perception and artificial intelligence ;
v. 75. |
| Sujets: | |
| Accès en ligne: | Texto completo |
| Résumé: | Researchers from various disciplines such as pattern recognition, statistics, and machine learning have explored the use of ensemble methodology since the late seventies. Thus, they are faced with a wide variety of methods, given the growing interest in the field. This book aims to impose a degree of order upon this diversity by presenting a coherent and unified repository of ensemble methods, theories, trends, challenges and applications. The book describes in detail the classical methods, as well as the extensions and novel approaches developed recently. Along with algorithmic descriptions. |
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| Description matérielle: | 1 online resource (xv, 225 pages) : illustrations. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9814271071 9789814271073 |