PSVM: Parallelizing Support Vector Machines on Distributed Computers-Reference-Cited by-同舟云学术

PSVM: Parallelizing Support Vector Machines on Distributed Computers

Published:2011 Issue: Volume: Page:213-230
ISSN:
Container-title:Foundations of Large-Scale Multimedia Information Management and Retrieval
language:
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Author:

Chang Edward Y.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-20429-6_10.pdf

Reference20 articles.

1. E.Y. Chang, K. Zhu , H. Wang, H. Bai, J. Li, Z. Qiu, H. Cui, Parallelizing support vector machines on distributed computers, in Proceedings of NIPS, 2007

2. E.Y. Chang, H. Bai, K. Zhu, H. Wang, J. Li, Z. Qiu, Google PSVM open source. http://code.google.com/p/psvm/

3. V. Vapnik, The Nature of Statistical Learning Theory. (Springer, New York, 1995)

4. S. Mehrotra, On the implementation of a primal-dual interior point method. SIAM J. Optim. 2, 575–601 (1992)

5. T. Joachims, Making large-scale SVM learning practical, in Advances in Kernel Methods—Support Vector Learning, ed. by B. Schölkopf, C. Burges, A. Smola (MIT Press, 1999)

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