Fast Approximation of Support Vector Kernel Expansions, and an Interpretation of Clustering as Approximation in Feature Spaces-Reference-Cited by-同舟云学术

Fast Approximation of Support Vector Kernel Expansions, and an Interpretation of Clustering as Approximation in Feature Spaces

Published:1998 Issue: Volume: Page:125-132
ISSN:1431-472X
Container-title:Mustererkennung 1998
language:
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Author:

Schölkopf Bernhard,Knirsch Phil,Smola Alex,Burges Chris

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-72282-0_12.pdf

Reference14 articles.

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3. J. M. Buhmann. Data clustering and learning. In M. A. Arbib, editor, The Handbook of Brain Theory and Neural Networks, pages 278–281. MIT Press, 1995.

4. C. J. C. Burges. Simplified support vector decision rules. In L. Saitta, editor, Proceedings, 13th ICML, pages 71–77, San Mateo, CA, 1996. Morgan Kaufmann.

5. C. J. C. Burges and B. Schölkopf. Improving the accuracy and speed of support vector learning machines. In M. Mozer, M. Jordan, and T. Pet sehe, editors, Advances in NIPS P, pages 375–381, Cambridge, MA, 1997. MIT Press.

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