The Resource An introduction to computational learning theory, Michael J. Kearns, Umesh V. Vazirani, (electronic resource)

An introduction to computational learning theory, Michael J. Kearns, Umesh V. Vazirani, (electronic resource)

Label
An introduction to computational learning theory
Title
An introduction to computational learning theory
Statement of responsibility
Michael J. Kearns, Umesh V. Vazirani
Creator
Contributor
Subject
Language
eng
Cataloging source
N$T
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • standards specifications
  • bibliography
An introduction to computational learning theory, Michael J. Kearns, Umesh V. Vazirani, (electronic resource)
Label
An introduction to computational learning theory, Michael J. Kearns, Umesh V. Vazirani, (electronic resource)
Link
http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267405
Publication
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Bibliography note
Includes bibliographical references (p. [193]-203) and index
Color
multicolored
Contents
The probably approximately correct learning model -- Occam's razor -- The Vapnik-Chervonenkis dimension -- Weak and strong learning -- Learning in the presence of noise -- Inherent unpredictability -- Reducibility in PAC learning -- Learning finite automata by experimentation -- Appendix: some tools for probabilistic analysis
Control code
ocm47009798
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http://covers.openlibrary.org/b/isbn/9780585350530-M.jpg?default=false
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unknown
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Extent
1 online resource (xii, 207 p.)
Form of item
online
Isbn
9780585350530
Isbn Type
(electronic bk.)
Other physical details
ill.
Specific material designation
remote
System control number
(OCoLC)47009798

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