http://arxiv.org/abs/1805.02716
We discuss the development of novel deep learning algorithms to enable real-time regression analysis for time series data. We showcase the application of this new method with a timely case study, and then discuss the applicability of this approach to tackle similar challenges across science domains.
E. Huerta, D. George, Z. Zhao, et. al.
Wed, 9 May 18
19/55
Comments: 3 pages. Position Paper accepted to SciML2018: DOE ASCR Workshop on Scientific Machine Learning. North Bethesda, MD, United States, January 30-February 1, 2018
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