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An introduction to support vector machines : and other kernel-based learning methods / Nello Cristianini and John Shawe-Taylor.
Author
Cristianini, Nello
[Browse]
Format
Book
Language
English
Published/Created
Cambridge ; New York : Cambridge University Press, 2000.
Description
1 online resource (xiii, 189 pages) : illustrations (some color)
Availability
Available Online
Cambridge Core All Books
Details
Subject(s)
Support vector machines
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Kernel functions
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Machine learning
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Computer algorithms
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Algorithms
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Related name
Shawe-Taylor, John
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Summary note
A comprehensive introduction to this recent method for machine learning and data mining.
Bibliographic references
Includes bibliographical references (pages 173-186) and index.
Source of description
Print version record.
Contents
The learning methodology
Linear learning machines
Kernal-induced feature spaces
Generalisation theory
Optimisation theory
Support vector machines
Implementation techniques
Application of support vector machines
Pseudocode for the SMO algorithm
Background mathematics.
Show 7 more Contents items
ISBN
9781139649087 ((electronic bk.))
1139649086 ((electronic bk.))
9780511801389 ((electronic bk.))
0511801386 ((electronic bk.))
9781139638623 ((e-book))
1139638629 ((e-book))
1316085414
9781316085417
1139641468
9781139641463
OCLC
852896272
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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Other versions
An introduction to Support Vector Machines : and other kernel-based learning methods / Nello Cristianini and John Shawe-Taylor.
id
9940727873506421