Parallel Tuning of Support Vector Machine Learning Parameters for Large and Unbalanced Data Sets-Reference-Cited by-同舟云学术

Parallel Tuning of Support Vector Machine Learning Parameters for Large and Unbalanced Data Sets

Published:2005 Issue: Volume: Page:253-264
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
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Author:

Eitrich Tatjana,Lang Bruno

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11560500_23

Reference21 articles.

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2. Platt, J.: Fast training of support vector machines using sequential minimal optimization. In: Schölkopf, B., Burges, C.J.C., Smola, A.J. (eds.) Advances in Kernel Methods — Support Vector Learning, pp. 185–208. MIT Press, Cambridge (1999)

3. Poulet, F.: Multi-way distributed SVM algorithms. In: Proc. of ECML/PKDD 2003 Int. Workshop on Parallel and Distributed Algorithms for Data Mining (2003)

4. Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge University Press, Cambridge (2000)

5. Schölkopf, B., Smola, A.J.: Learning With Kernels. MIT Press, Cambridge (2002)

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