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  Combining system modeling and machine learning into hybrid ecosystem modeling

Reichstein, M., Ahrens, B., Kraft, B., Camps-Valls, G., Carvalhais, N., Gans, F., et al. (2022). Combining system modeling and machine learning into hybrid ecosystem modeling. In R. Kannan, & V. Kumar (Eds.), Knowledge-Guided Machine Learning (pp. 327-352). London: Chapman & Hall. doi:10.1201/9781003143376-14.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-FBDC-4 Version Permalink: https://hdl.handle.net/21.11116/0000-000A-FBEC-2
Genre: Book Chapter

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BGC4069.pdf (Publisher version), 3MB
 
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 Creators:
Reichstein, Markus1, Author           
Ahrens, Bernhard1, Author           
Kraft, Basil2, Author           
Camps-Valls, Gustau, Author
Carvalhais, Nuno3, Author           
Gans, Fabian1, Author           
Gentine, Pierre, Author
Winkler, Alexander4, Author           
Affiliations:
1Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1688139              
2Global Diagnostic Modelling, Dr. Martin Jung, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938311              
3Model-Data Integration, Dr. Nuno Carvalhais, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938310              
4Atmosphere-Biosphere Coupling, Climate and Causality, Dr. Alexander J. Winkler, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_3405368              

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 Dates: 2022-08-15
 Publication Status: Published online
 Pages: 26
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: BGC4069
DOI: 10.1201/9781003143376-14
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Title: Knowledge-Guided Machine Learning
Source Genre: Book
 Creator(s):
Karpatne, Anuj , Author
Kannan, Ramakrishnan, Editor
Kumar, Vipin, Editor
Affiliations:
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Publ. Info: London : Chapman & Hall
Pages: 442 Volume / Issue: - Sequence Number: 9781003143376 Start / End Page: 327 - 352 Identifier: ISBN: ISBN 9780367693411