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Semi-supervised learning /
A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems, this text looks at state-of-the-art algorithms, applications benchmark experiments, and directions for future research.
| Clasificación: | Libro Electrónico |
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| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, Mass. :
MIT Press,
©2006.
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| Colección: | Adaptive computation and machine learning.
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems, this text looks at state-of-the-art algorithms, applications benchmark experiments, and directions for future research. |
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| Descripción Física: | 1 online resource (x, 508 pages) : illustrations |
| Bibliografía: | Includes bibliographical references (pages 479-497). |
| ISBN: | 9780262255899 0262255898 0262033585 9780262033589 1282096184 9781282096189 1429414081 9781429414081 |