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Titlebook: Dynamic Data-Driven Environmental Systems Science; First International Sai Ravela,Adrian Sandu Conference proceedings 2015 Springer Intern

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發(fā)表于 2025-3-21 17:28:57 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Dynamic Data-Driven Environmental Systems Science
副標題First International
編輯Sai Ravela,Adrian Sandu
視頻videohttp://file.papertrans.cn/284/283571/283571.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Dynamic Data-Driven Environmental Systems Science; First International  Sai Ravela,Adrian Sandu Conference proceedings 2015 Springer Intern
描述This book constitutes the refereed proceedings of the First International Conference on Dynamic Data-Driven Environmental Systems Science, DyDESS 2014, held in Cambridge, MA, USA, in November 2014..The 24 revised full papers and 7 short papers were carefully reviewed and selected from 62 submissions and cover topics on sensing, imaging and retrieval ?for the oceans, atmosphere, space, land, earth and planets that is informed by the environmental context; ?algorithms for modeling and simulation, downscaling, model reduction, data assimilation, uncertainty quantification and statistical learning; methodologies for planning and control, sampling and adaptive observation, and efficient coupling of these algorithms into information-gathering and observing system designs; and applications of methodology to environmental estimation, analysis and prediction including climate, natural hazards, oceans, cryosphere, atmosphere, land, space, earth and planets..
出版日期Conference proceedings 2015
關(guān)鍵詞bayesian inference; dynamic programming; ensemble learning; hybrid method; simulation; data uncertainty; d
版次1
doihttps://doi.org/10.1007/978-3-319-25138-7
isbn_softcover978-3-319-25137-0
isbn_ebook978-3-319-25138-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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發(fā)表于 2025-3-21 23:27:21 | 只看該作者
https://doi.org/10.1007/978-3-319-25138-7bayesian inference; dynamic programming; ensemble learning; hybrid method; simulation; data uncertainty; d
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發(fā)表于 2025-3-22 02:56:02 | 只看該作者
978-3-319-25137-0Springer International Publishing Switzerland 2015
地板
發(fā)表于 2025-3-22 07:56:59 | 只看該作者
Sai Ravela,Adrian SanduIncludes supplementary material:
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/283571.jpg
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發(fā)表于 2025-3-22 13:49:01 | 只看該作者
Conference proceedings 2015, held in Cambridge, MA, USA, in November 2014..The 24 revised full papers and 7 short papers were carefully reviewed and selected from 62 submissions and cover topics on sensing, imaging and retrieval ?for the oceans, atmosphere, space, land, earth and planets that is informed by the environmental
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