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Gap-filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis 期刊论文
GLOBAL CHANGE BIOLOGY, 2019
作者:  Kim, Yeonuk;  Johnson, Mark S.;  Knox, Sara H.;  Black, T. Andrew;  Dalmagro, Higo J.;  Kang, Minseok;  Kim, Joon;  Baldocchi, Dennis
收藏  |  浏览/下载:16/0  |  提交时间:2019/11/27
artificial neural network  comparison of gap-filling techniques  eddy covariance  machine learning  marginal distribution sampling  methane flux  random forest  support vector machine  
The neurobiology of language beyond single-word processing 期刊论文
SCIENCE, 2019, 366 (6461) : 55-+
作者:  Hagoort, Peter
收藏  |  浏览/下载:0/0  |  提交时间:2019/11/27
Anticipating global terrestrial ecosystem state change using FLUXNET 期刊论文
GLOBAL CHANGE BIOLOGY, 2019, 25 (7) : 2352-2367
作者:  Yu, Rong;  Ruddell, Benjamin L.;  Kang, Minseok;  Kim, Joon;  Childers, Dan
收藏  |  浏览/下载:10/0  |  提交时间:2019/11/27
eddy covariance  FLUXNET  functional elasticity  information flow  phenology  precipitation  process network  radiation  structural state  temperature  
Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing 期刊论文
SCIENCE, 2019, 364 (6440) : 570-+
作者:  Fuller, Elliot J.;  Keene, Scott T.;  Melianas, Armantas;  Wang, Zhongrui;  Agarwal, Sapan;  Li, Yiyang;  Tuchman, Yaakov;  James, Conrad D.;  Marinella, Matthew J.;  Yang, J. Joshua;  Salleo, Alberto;  Talin, A. Alec
收藏  |  浏览/下载:9/0  |  提交时间:2019/11/27
A role for optics in AI hardware 期刊论文
NATURE, 2019, 569 (7755) : 199-200
作者:  Burr, Geoffrey W.
收藏  |  浏览/下载:0/0  |  提交时间:2019/11/27