Work-in-Progress: Maximizing Model Accuracy in Real-time and Iterative Machine Learning

Article Details
Title:	Work-in-Progress: Maximizing Model Accuracy in Real-time and Iterative Machine Learning
Article URLs:	https://doi.org/10.1109/RTSS.2017.00055 http://doi.ieeecomputersociety.org/10.1109/RTSS.2017.00055
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Authors:	Rui Han	Chinese Academy of Sciences, Institute of Computing Technology
	Fan Zhang	Chinese Academy of Sciences, Institute of Computing Technology
	Lydia Y. Chen	IBM Research Zurich
	Jianfeng Zhan	Chinese Academy of Sciences, Institute of Computing Technology
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DBLP Key:	conf/rtss/HanZCZ17
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IEEE Real-Time Systems Symposium, RTSS 2017