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.

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Bibliographic Details
Other Authors Chapelle, Olivier, Schölkopf, Bernhard, Zien, Alexander
Format eBook
LanguageEnglish
Published Cambridge, Mass. : MIT Press, c2006.
SeriesAdaptive computation and machine learning.
Subjects
Online AccessFull text
ISBN9780262255899
Physical Description1 online zdroj (x, 508 p.) : ill.

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490 1 |a Adaptive computation and machine learning 
504 |a Includes bibliographical references (p. [479]-497). 
520 8 |a 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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700 1 |a Zien, Alexander. 
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