Semi-supervised learning /

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Bibliographic Details
Imprint:	Cambridge, Mass. : MIT Press, ©2006.
Description:	1 online resource (x, 508 pages) : illustrations
Language:	English
Series:	Adaptive computation and machine learning Adaptive computation and machine learning.
Subject:	Supervised learning (Machine learning) Supervised learning (Machine learning) Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11148728

Hidden Bibliographic Details
Other authors / contributors:	Chapelle, Olivier. Schölkopf, Bernhard. Zien, Alexander.
ISBN:	9780262255899 0262255898 0262033585 9780262033589 1282096184 9781282096189 1429414081 9781429414081
Digital file characteristics:	data file
Notes:	Includes bibliographical references (pages 479-497). English. Print version record.
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.
Other form:	Print version: Semi-supervised learning. Cambridge, Mass. : MIT Press, ©2006 0262033585

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