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.

Saved in:
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
Supervised learning (Machine learning)
elektronické knihy
electronic books
Online AccessFull text
ISBN9780262255899
Physical Description1 online zdroj (x, 508 p.) : ill.

Cover

More Information
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.
Bibliography:Includes bibliographical references (p. [479]-497).
ISBN:9780262255899
Access:Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty univerzity
Physical Description:1 online zdroj (x, 508 p.) : ill.

Similar Items