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The Resource Kernel methods for pattern analysis, John Shawe-Taylor, Nello Cristianini

Kernel methods for pattern analysis, John Shawe-Taylor, Nello Cristianini

Label
Kernel methods for pattern analysis
Title
Kernel methods for pattern analysis
Statement of responsibility
John Shawe-Taylor, Nello Cristianini
Creator
Contributor
Subject
Language
eng
Cataloging source
DLC
http://library.link/vocab/creatorName
Shawe-Taylor, John
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorName
Cristianini, Nello
http://library.link/vocab/subjectName
  • Machine learning
  • Algorithms
  • Kernel functions
  • Pattern perception
Label
Kernel methods for pattern analysis, John Shawe-Taylor, Nello Cristianini
Instantiates
Publication
Bibliography note
Includes bibliographical references (p. 450-459) and index
Contents
  • 1.
  • Pattern analysis.
  • p. 1
  • 2.
  • Kernel methods : an overview.
  • p. 25
  • 3.
  • Properties of kernels.
  • p. 47
  • 4.
  • Detecting stable patterns.
  • p. 85
  • 5.
  • Elementary algorithms in feature space.
  • p. 111
  • 6.
  • Pattern analysis using eigen-decompositions.
  • p. 140
  • 7.
  • Pattern analysis using convex optimisation.
  • p. 195
  • 8.
  • Ranking, clustering and data visualisation.
  • p. 252
  • 9.
  • Basic kernels and kernel types.
  • p. 291
  • 10.
  • Kernels for text.
  • p. 327
  • 11.
  • Kernels for structured data : strings, trees, etc.
  • p. 344
  • 12.
  • Kernels from generative models.
  • p. 397
  • App. A.
  • Proofs omitted from the main text.
  • p. 437
  • App. B.
  • Notational conventions.
  • p. 444
  • App. C.
  • List of pattern analysis methods.
  • p. 446
  • App. D.
  • List of kernels.
  • p. 448
Control code
l82003069590
Dimensions
26 cm.
Extent
xiv, 462 p.
Isbn
9780521813976
Lccn
2003069590
Other physical details
ill.
Label
Kernel methods for pattern analysis, John Shawe-Taylor, Nello Cristianini
Publication
Bibliography note
Includes bibliographical references (p. 450-459) and index
Contents
  • 1.
  • Pattern analysis.
  • p. 1
  • 2.
  • Kernel methods : an overview.
  • p. 25
  • 3.
  • Properties of kernels.
  • p. 47
  • 4.
  • Detecting stable patterns.
  • p. 85
  • 5.
  • Elementary algorithms in feature space.
  • p. 111
  • 6.
  • Pattern analysis using eigen-decompositions.
  • p. 140
  • 7.
  • Pattern analysis using convex optimisation.
  • p. 195
  • 8.
  • Ranking, clustering and data visualisation.
  • p. 252
  • 9.
  • Basic kernels and kernel types.
  • p. 291
  • 10.
  • Kernels for text.
  • p. 327
  • 11.
  • Kernels for structured data : strings, trees, etc.
  • p. 344
  • 12.
  • Kernels from generative models.
  • p. 397
  • App. A.
  • Proofs omitted from the main text.
  • p. 437
  • App. B.
  • Notational conventions.
  • p. 444
  • App. C.
  • List of pattern analysis methods.
  • p. 446
  • App. D.
  • List of kernels.
  • p. 448
Control code
l82003069590
Dimensions
26 cm.
Extent
xiv, 462 p.
Isbn
9780521813976
Lccn
2003069590
Other physical details
ill.

Library Locations

    • Harold Cohen LibraryBorrow it
      Ashton Street, Liverpool, L69 3DA, GB
      53.418074 -2.967913
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