Author:
Janusz Bartosz Jerzy,Wołk Krzysztof
Publisher
Springer International Publishing
Reference27 articles.
1. Grolinger, K., Capretz, M.A.M., Seewald, L.: Energy consumption prediction with big data: balancing prediction accuracy and computational resources. In: 2016 IEEE International Congress on Big Data (BigData Congress), pp. 1–8 (2016)
2. Ng, S.S.Y., Zhu, W., Tang, W.W.S., Wan, L.C.H., Wat, A.Y.W.: An independent study of two deep learning platforms - H2O and SINGA. In: 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp 1–5. IEEE Press, Bali (2016)
3. Niu, F., Recht, B., Christopher, R., Wright, S.J.: HOGWILD!: a lock-free approach to parallelizing stochastic gradient descent. In: Advances in Neural Information Processing Systems, pp. 693–701 (2011)
4. Richter, A.N., Khoshgoftaar, T.M., Landset, S., Hasanin, T.: A multi-dimensional comparison of toolkits for machine learning with big data. In: 2015 IEEE International Conference on Information Reuse and Integration, pp. 1–8. IEEE, San Francisco (2015)
5. Suleiman, D., Al-Naymat, G.: SMS spam detection using H2O framework. Procedia Comput. Sci. 113, 154–161 (2017)
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