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The Resource Advances in kernel methods : support vector learning, edited by Bernhard Schölkopf, Christopher J.C. Burges, Alexander J. Smola

Advances in kernel methods : support vector learning, edited by Bernhard Schölkopf, Christopher J.C. Burges, Alexander J. Smola

Label
Advances in kernel methods : support vector learning
Title
Advances in kernel methods
Title remainder
support vector learning
Statement of responsibility
edited by Bernhard Schölkopf, Christopher J.C. Burges, Alexander J. Smola
Contributor
Subject
Language
eng
Dewey number
006.3/1
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Schölkopf, Bernhard
  • Burges, Christopher J. C
  • Smola, Alexander J
http://library.link/vocab/subjectName
  • Machine learning
  • Algorithms
  • Kernel functions
  • Algorithms
  • Machine learning
  • Kernel functions
Label
Advances in kernel methods : support vector learning, edited by Bernhard Schölkopf, Christopher J.C. Burges, Alexander J. Smola
Instantiates
Publication
Bibliography note
Includes bibliographical references (pages 353-371) and index
Color
multicolored
Contents
Preface -- Introduction to support vector learning -- Roadmap -- Three remarks on the support vector method of function estimation / Valdimir Vapnik -- Generalization performance of support vector machines and other pattern classifiers / Peter Bartlett and John Shawe-Taylor -- Bayesian voting schemes and large margin classifiers / Nello Cristianini and John Shawe-Taylor -- Support vector machines, reproducing kernal Hilbert spaces, and randomized GACV / Grace Wahba -- Geometry and invariance in kernel based methods / Christopher J.C. Burgess -- On the annealed VC entropy for margin classifiers : a statistical mechanics study / Manfred Opper -- Entropy numbers, operators and support vector kernels / Robert C. Williamson, Alex J. Smola and Berhard Schölkopf -- Solving the quadratic programming problem arising in support vector classification / Linda Kaufman -- Making large-scale support vector machine learning practical / Thorsten Joachims -- Fast training of support vector machines using sequential minimal optimization / John C. Platt -- Support vector machines for dynamic reconstruction of a chaotic system / David Mattera and Simon Haykin -- Using support vector machines for time series prediction / Klaus-Robert Müller . [and others] -- Pairwise classification and support vector machines / Ulrich Kressel -- Reducing the run-time complexity in support vector machines / Edgar E. Osuna and Federico Girosi -- Support vector regression with ANOVA decomposition kernels / Mark O. Stitson . [and others] -- Support vector density estimation / Jason Weston . [and others] -- Combining support vector and mathematical programming methods for classification / Kristin P. Bennett -- Kernel principal component analysis / Berhard Schölkopf, Alex J. Smola and Klaus-Robert Müller
Control code
ocm44957981
Dimensions
unknown
Extent
1 online resource (vii, 376 pages)
Form of item
online
Isbn
9780585128290
Note
eBooks on EBSCOhost
Other physical details
illustrations
Specific material designation
remote
System control number
(OCoLC)44957981
Label
Advances in kernel methods : support vector learning, edited by Bernhard Schölkopf, Christopher J.C. Burges, Alexander J. Smola
Publication
Bibliography note
Includes bibliographical references (pages 353-371) and index
Color
multicolored
Contents
Preface -- Introduction to support vector learning -- Roadmap -- Three remarks on the support vector method of function estimation / Valdimir Vapnik -- Generalization performance of support vector machines and other pattern classifiers / Peter Bartlett and John Shawe-Taylor -- Bayesian voting schemes and large margin classifiers / Nello Cristianini and John Shawe-Taylor -- Support vector machines, reproducing kernal Hilbert spaces, and randomized GACV / Grace Wahba -- Geometry and invariance in kernel based methods / Christopher J.C. Burgess -- On the annealed VC entropy for margin classifiers : a statistical mechanics study / Manfred Opper -- Entropy numbers, operators and support vector kernels / Robert C. Williamson, Alex J. Smola and Berhard Schölkopf -- Solving the quadratic programming problem arising in support vector classification / Linda Kaufman -- Making large-scale support vector machine learning practical / Thorsten Joachims -- Fast training of support vector machines using sequential minimal optimization / John C. Platt -- Support vector machines for dynamic reconstruction of a chaotic system / David Mattera and Simon Haykin -- Using support vector machines for time series prediction / Klaus-Robert Müller . [and others] -- Pairwise classification and support vector machines / Ulrich Kressel -- Reducing the run-time complexity in support vector machines / Edgar E. Osuna and Federico Girosi -- Support vector regression with ANOVA decomposition kernels / Mark O. Stitson . [and others] -- Support vector density estimation / Jason Weston . [and others] -- Combining support vector and mathematical programming methods for classification / Kristin P. Bennett -- Kernel principal component analysis / Berhard Schölkopf, Alex J. Smola and Klaus-Robert Müller
Control code
ocm44957981
Dimensions
unknown
Extent
1 online resource (vii, 376 pages)
Form of item
online
Isbn
9780585128290
Note
eBooks on EBSCOhost
Other physical details
illustrations
Specific material designation
remote
System control number
(OCoLC)44957981

Library Locations

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      Albany, Auckland, 0632, NZ
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