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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.
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Subjects
Algorithms, Kernel functions, Machine learning, Vector analysis, Apprentissage automatique, Algorithmes, Noyaux (Mathématiques), COMPUTERS, Enterprise Applications, Business Intelligence Tools, Intelligence (AI) & Semantics, Kunstmatige intelligentie, Algoritmen, Patroonherkenning, Functies (wiskunde), Machine-learning, Fiction, Chinese Americans, Juvenile fiction, Brothers, Railroads, Central Pacific Railroad CompanyShowing 3 featured editions. View all 3 editions?
Edition | Availability |
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1
Advances in Kernel Methods: Support Vector Learning
1999, MIT Press
in English
0585128294 9780585128290
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WorldCat
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2
Advances in kernel methods: support vector learning
1999, MIT Press, Philomel Books, The MIT Press
in English
0262194163 9780262194167
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zzzz
Libraries near you:
WorldCat
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3
Advances in Kernel Methods: Support Vector Learning
December 18, 1998, The MIT Press
Hardcover
in English
0262194163 9780262194167
|
aaaa
Libraries near you:
WorldCat
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Book Details
First Sentence
"Let us start with the problem of learning how to recognize patterns."
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- Created April 30, 2008
- 6 revisions
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July 30, 2019 | Edited by MARC Bot | associate edition with work OL19451178W |
August 12, 2010 | Edited by IdentifierBot | added LibraryThing ID |
April 24, 2010 | Edited by Open Library Bot | Fixed duplicate goodreads IDs. |
April 16, 2010 | Edited by bgimpertBot | Added goodreads ID. |
April 30, 2008 | Created by an anonymous user | Imported from amazon.com record |