An edition of Advances in kernel methods (1998)

Advances in kernel methods

support vector learning

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Last edited by MARC Bot
July 15, 2024 | History
An edition of Advances in kernel methods (1998)

Advances in kernel methods

support vector learning

  • 0 Ratings
  • 0 Want to read
  • 0 Currently reading
  • 0 Have read

The Support Vector Machine is a powerful new learning algorithm for solving a variety of learning and function estimation problems, such as pattern recognition, regression estimation, and operator inversion. The impetus for this collection was a workshop on Support Vector Machines held at the 1997 NIPS conference. The contributors, both university researchers and engineers developing applications for the corporate world, form a Who's Who of this exciting new area.

Publish Date
Language
English
Pages
376

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Edition Availability
Cover of: Advances in Kernel Methods
Advances in Kernel Methods: Support Vector Learning
1999, MIT Press
in English
Cover of: Advances in kernel methods
Advances in kernel methods: support vector learning
1999, MIT Press, Philomel Books, The MIT Press
in English
Cover of: Advances in Kernel Methods
Advances in Kernel Methods: Support Vector Learning
December 18, 1998, The MIT Press
Hardcover in English

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Book Details


Edition Notes

Includes bibliographical references (p. [353]-371) and index.

Published in
Cambridge, Mass

Classifications

Dewey Decimal Class
006.3/1
Library of Congress
Q325.5 .A32 1999, PZ7.S685273Co 2000, Q325.5 .A32 1999eb, PZ7.Y537 Co 2001

The Physical Object

Pagination
vii, 376 p. :
Number of pages
376

ID Numbers

Open Library
OL378250M
ISBN 10
0262194163
LCCN
98040302, 98040403
OCLC/WorldCat
44957981, 39706960, 39706952
Library Thing
770359
Goodreads
146389

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History

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July 15, 2024 Edited by MARC Bot import existing book
March 8, 2023 Edited by MARC Bot import existing book
December 15, 2022 Edited by MARC Bot import existing book
September 13, 2021 Edited by ImportBot import existing book
April 3, 2019 Created by MARC Bot import existing book