A Parallel and Convergent Support Vector Machine Based on MapReduce

Author:

Ma Yingying,Wang Liming,Li Longpu

Publisher

Springer International Publishing

Reference9 articles.

1. Graf, H. P., Cosatto, E., Bottou, L., Durdanovic, I., & Vapnik, V. (2004). Parallel support vector machines: The Cascade SVM. Advances in Neural Information Processing Systems (NIPS), 17, 521–528.

2. Salleh, N. S. M., Suliman, A., & Ahmad, A. R. (2011). Parallel execution of distributed SVM using MPI (CoDLib). In International Conference on Information Technology and Multimedia (ICIM) (pp. 1–4). IEEE.

3. Li, Q., Salman, R., Test, E., Strack, R., & Kecman, V. (2013). Parallel multitask cross validation for support vector machine using GPU. Journal of Parallel and Distributed Computing, 73(3), 293–302.

4. Caruana, G., Li, M. Z., & Liu, Y. (2012) An ontology enhanced parallel SVM for Scalable spam filter training [EB/OL]. http://dx.doi.org/10.1016/j.neucom.2012.12.001 . doi: 10.1016/j.neucom.2012.12.001#_parent

5. Chu, C. T., Kim, S. K., Lin, Y. A., Yu, Y. Y., Bradski, G., Olukotun, K., et al. (2007). Map-reduce for machine learning on multicore. Advances in Neural Information Processing Systems (NIPS), 19, 281–288.

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