Distributed Support Vector Machines: An Overview-Reference-Cited by-同舟云学术

Distributed Support Vector Machines: An Overview

Published:2016 Issue: Volume: Page:109-138
ISSN:0302-9743
Container-title:Solving Large Scale Learning Tasks. Challenges and Algorithms
language:
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Author:

Stolpe Marco,Bhaduri Kanishka,Das Kamalika

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-41706-6_5

Reference38 articles.

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3. Boyd, S., Parikh, N., Chu, E., Peleato, B., Eckstein, J.: Distributed optimization and statistical learning via the alternating direction method of multipliers. Found. Trends Mach. Learn. 3(1), 1–122 (2011)

4. Boyd, S., Vandenberghe, L.: Convex Optimization. Cambridge University Press, New York (2004)

5. Caragea, C., Caragea, D., Honavar, V.: Learning support vector machines from distributed data sources. In: Proceedings of the 20th National Conference on Artificial Intelligence (AAAI), vol. 4, pp. 1602–1603. AAAI Press (2005)

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