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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.
| Call Number: | Libro Electrónico |
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| Other Authors: | , , |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Cambridge, Mass. :
MIT Press,
©2006.
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| Series: | Adaptive computation and machine learning.
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| Subjects: | |
| Online Access: | Texto completo |
| Summary: | 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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| Physical Description: | 1 online resource (x, 508 pages) : illustrations |
| Bibliography: | Includes bibliographical references (pages 479-497). |
| ISBN: | 9780262255899 0262255898 0262033585 9780262033589 1282096184 9781282096189 1429414081 9781429414081 |