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Kernel Methods for Pattern Analysis
monograph
Author(s):
John Shawe-Taylor
,
Nello Cristianini
Publication date
(Online):
2009
Publisher:
Cambridge University Press
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NeuroImaging Methods
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Book
ISBN:
9780511809682
Publication date (Print):
2004
Publication date (Online):
2009
DOI:
10.1017/CBO9780511809682
SO-VID:
aa3c140d-f446-4c92-aceb-f5e7606ec980
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Book chapters
pp. xi
Preface
pp. 3
Pattern analysis
pp. 25
Kernel methods: an overview
pp. 47
Properties of kernels
pp. 85
Detecting stable patterns
pp. 111
Elementary algorithms in feature space
pp. 140
Pattern analysis using eigen-decompositions
pp. 195
Pattern analysis using convex optimisation
pp. 252
Ranking, clustering and data visualisation
pp. 291
Basic kernels and kernel types
pp. 327
Kernels for text
pp. 344
Kernels for structured data: strings, trees, etc.
pp. 397
Kernels from generative models
pp. 437
Proofs omitted from the main text
pp. 444
Notational conventions
pp. 446
List of pattern analysis methods
pp. 448
List of kernels
pp. 450
References
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