Real-time regression analysis with deep convolutional neural networks
Machine Learning
2018-05-09 v1 Instrumentation and Methods for Astrophysics
Artificial Intelligence
Machine Learning
Abstract
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.
Cite
@article{arxiv.1805.02716,
title = {Real-time regression analysis with deep convolutional neural networks},
author = {E. A. Huerta and Daniel George and Zhizhen Zhao and Gabrielle Allen},
journal= {arXiv preprint arXiv:1805.02716},
year = {2018}
}
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