Mathematical and Algorithmic Aspects of Scalable Machine Learning
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-33-6815-6_13
Reference9 articles.
1. Verbraeken, J., M. Wolting, J. Katzy, J. Kloppenburg, T. Verbelen, and J. S. Rellermeyer. 2019. A survey on distributed machine learning. arXiv preprint arXiv:1912.09789.
2. Xu, X., J. Jäger, and H.-P. Kriegel. 1999. A fast parallel clustering algorithm for large spatial databases. In High Performance Data Mining, 263–290. Boston, MA: Springer, Boston.
3. Platt, J. 1998. Sequential minimal optimization: A fast algorithm for training support vector machines.
4. Alham, N. K., M. Li, Y. Liu, and S. Hammoud. 2011. A MapReduce-based distributed SVM algorithm for automatic image annotation. Computers & Mathematics with Applications 62 (7): 2801–2811.
5. Bekkerman, R., M. Bilenko, and J. Langford, (eds.). 2011. Scaling up machine learning: Parallel and distributed approaches. Cambridge: Cambridge University Press.
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