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Advances in kernel methodssupport ve...

Burges, Christopher J. C.

Advances in kernel methodssupport vector learning /

紀錄類型:	書目-電子資源 : 單行本
正題名/作者:	Advances in kernel methods/ edited by Bernhard Sch鋌lkopf, Christopher J.C. Burges, Alexander J. Smola.
其他題名:	support vector learning /
其他作者:	Sch鋌lkopf, Bernhard.
出版者:	Cambridge, Mass. :MIT Press,�999.
面頁冊數:	1 online resource (vii, 376 pages) :illustrations
標題:	Machine learning. -
電子資源:	Click here for online access to this book (查閱全文) (EBSCO eBook)
ISBN:	0585128294 (electronic bk.)
ISBN:	9780585128290 (electronic bk.)

Advances in kernel methodssupport vector learning /
Advances in kernel methodssupport vector learning /[electronic resource] :edited by Bernhard Sch鋌lkopf, Christopher J.C. Burges, Alexander J. Smola. - Cambridge, Mass. :MIT Press,�999. - 1 online resource (vii, 376 pages) :illustrations

Includes bibliographical references (pages 353-371) and index.

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 Sch鋌lkopf -- 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 M鋎ller . [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 . [et al.] -- Support vector density estimation / Jason Weston . [et al.] -- Combining support vector and mathematical programming methods for classification / Kristin P. Bennett -- Kernel principal component analysis / Berhard Sch鋌lkopf, Alex J. Smola and Klaus-Robert M鋎ller.

ISBN: 0585128294 (electronic bk.)Subjects--Topical Terms:

147118
Machine learning.
Index Terms--Genre/Form:

172687
Electronic books.

LC Class. No.: Q325.5 / .A32 1999eb

Dewey Class. No.: 006.3/1

Advances in kernel methodssupport vector learning /
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