Work-in-Progress: Maximizing Model Accuracy in Real-time and Iterative Machine Learning. Han, R., Zhang, F., Chen, L. Y., & Zhan, J. In 2017 IEEE Real-Time Systems Symposium, RTSS 2017, Paris, France, December 5-8, 2017, pages 351–353, 2017. IEEE Computer Society.
Work-in-Progress: Maximizing Model Accuracy in Real-time and Iterative Machine Learning [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/rtss/HanZCZ17,
  author       = {Rui Han and
                  Fan Zhang and
                  Lydia Y. Chen and
                  Jianfeng Zhan},
  title        = {Work-in-Progress: Maximizing Model Accuracy in Real-time and Iterative
                  Machine Learning},
  booktitle    = {2017 {IEEE} Real-Time Systems Symposium, {RTSS} 2017, Paris, France,
                  December 5-8, 2017},
  pages        = {351--353},
  publisher    = {{IEEE} Computer Society},
  year         = {2017},
  url          = {https://doi.org/10.1109/RTSS.2017.00055},
  doi          = {10.1109/RTSS.2017.00055},
  timestamp    = {Wed, 24 Jul 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/rtss/HanZCZ17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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