The Proceeding of the Korean Institute of Electromagnetic Engineering and Science (한국전자파학회지:전자파기술)

The Korean Institute of Electromagnetic Engineering and Science (한국전자파학회)
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기계학습 기반 네트워크 지능화

  • Published : 2017.09.30
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Abstract

Keywords

References

  1. 장병탁, "차세대 기계학습 기술", 정보과학회지 25(3), pp. 96-107, 2007년 3월.
  2. Y. Bengio, "Learning deep architectures for AI", Foundations and Trends in Machine Learning, vol. 2, no. 1, pp. 1-127, 2009. https://doi.org/10.1561/2200000006
  3. D. Kreutz, F. M. V. Ramos, P. E. Veríssimo, C. E. Rothenberg, S. Azodolmolky, and S. Uhlig, "Software-defined networking: A comprehensive survey", Proceedings of the IEEE, vol. 103, no. 1, pp. 14-76, Dec. 2014. https://doi.org/10.1109/JPROC.2014.2371999
  4. NML(Network Machine Learning) RG, 97th IETF Seoul Meeting, https://www.ietf.org/proceedings/97/slides/slides-97- nmlrg-intelligence-defined-network-01.pdf, Nov. 2016.
  5. Proposed Network Machine Learning Research Group(PNMLRG), IRTF, https://datatracker.ietf.org/group/nmlrg/charter.
  6. IDNET Information Page, https://www.ietf.org/mailman/listinfo/idnet
  7. https://www.itu.int/md/T17-SG12-C-0053/en
  8. A. Mestres et al., "Knowledge-Defined Networking", arXiv 1606.06222v2, Jun, 2016.
  9. S. Jiang, B. Liu, P. Demestichas, J. Francois, G. M. Moura, and P. Barlet, "Applying machine learning mechanism with network traffic", IETF Internet Draft (Work in progress), https://tools.ietf.org/html/draft-jiang-nmlrg-traffic-machinelearning-00, Dec. 2016.
  10. W. W. M. Zhu, X. Zeng, X. Ye, and Y. Sheng, "Malware traffic classification using convolutional neural network for representation learning", Proc. of International Conference on Information Networking (ICOIN), Jan. 2017.
  11. M. S. Kim, Y. G. Hong, and Y. H. Han, "Intelligent management using collaborative reinforcement multi-agent system", IETF Internet Draft(Work in progress), https://tools.ietf.org/html/draft-kim-nmrg-rl-00, July 2017.
  12. J. A. Boyan, M. L. Littman, "Packet routing in dynamically changing networks: A reinforcement learning approach", Proc. of the 6th International Conference on Neural Information Processing Systems(NIPS), pp. 671-678, Nov. 29- Dec. 02, 1993.