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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...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Singapore ; Hackensack, N.J. :
World Scientific Pub. Co.,
©2010.
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| Colección: | Series in machine perception and artificial intelligence ;
v. 75. |
| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | 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 of each method, it also explains the circumstances in which this method is applicable and the consequences and the trade-offs incurred by using the method. |
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| Descripción Física: | 1 online resource (xv, 225 pages) : illustrations. |
| Bibliografía: | Includes bibliographical references (pages 185-222) and index. |
| ISBN: | 9789814271073 9814271071 1282757857 9781282757851 9786612757853 661275785X |