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

An introduction to computational learning theory, Michael J. Kearns, Umesh V. Vazirani

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
DLC
http://library.link/vocab/creatorName
Kearns, Michael J
Illustrations
illustrations
Index
index present
LC call number
Q325.5
LC item number
.K44 1994
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorName
Vazirani, Umesh Virkumar
http://library.link/vocab/subjectName
  • Machine learning
  • Artificial intelligence
  • Algorithms
  • Neural networks (Computer science)
  • Apprentissage automatique
  • Intelligence artificielle
  • Algorithmes
  • Réseaux neuronaux (Informatique)
  • Algorithms
  • Artificial intelligence
  • Machine learning
  • Neural networks (Computer science)
  • Machine-learning
  • Neurale netwerken
Label
An introduction to computational learning theory, Michael J. Kearns, Umesh V. Vazirani
Instantiates
Publication
Bibliography note
Includes bibliographical references (p. [193]-203) and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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
Dimensions
24 cm
Extent
xii, 207 pages
Isbn
9780262111935
Lccn
94016588
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
System control number
  • (OCoLC)30476515
  • (OCoLC)ocm30476515
Label
An introduction to computational learning theory, Michael J. Kearns, Umesh V. Vazirani
Publication
Bibliography note
Includes bibliographical references (p. [193]-203) and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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
Dimensions
24 cm
Extent
xii, 207 pages
Isbn
9780262111935
Lccn
94016588
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
System control number
  • (OCoLC)30476515
  • (OCoLC)ocm30476515

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