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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
ISBN:
9780585128290
ISBN:
9780262194167 (alk. paper)
ISBN:
0262194163 (alk. paper)
Advances in kernel methodssupport vector learning /
Advances in kernel methods
support 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 . [and others] -- 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
LCCN: 98040302 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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