Holdings: Machine Learning for Astrophysics

Machine Learning for Astrophysics: Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022

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Bibliographic Details
Other Authors:	Bufano, Filomena (Editor), Riggi, Simone (Editor), Sciacca, Eva (Editor), Schilliro, Francesco (Editor)
Format:	Electronic eBook
Language:	English
Published:	Cham Springer International Publishing 2023 Cham Springer
Edition:	1st ed. 2023
Series:	Astrophysics and Space Science Proceedings 60
Subjects:	Astrophysics Machine Learning Artificial Intelligence Astronomy, Observations and Techniques Machine learning Artificial intelligence Astronomy / Observations
Online Access:	TUM01 UBM01 UBT01 UBY01 Volltext
Physical Description:	1 Online-Ressource (XIV, 211 p. 52 illus., 47 illus. in color)
ISBN:	9783031341670
ISSN:	1570-6605
DOI:	10.1007/978-3-031-34167-0

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index_date	2024-07-03T23:02:46Z
indexdate	2024-07-10T10:05:56Z
institution	BVB
isbn	9783031341670
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publisher	Springer International Publishing Springer
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series2	Astrophysics and Space Science Proceedings
spelling	Machine Learning for Astrophysics Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022 edited by Filomena Bufano, Simone Riggi, Eva Sciacca, Francesco Schilliro 1st ed. 2023 Cham Springer International Publishing 2023 Cham Springer 1 Online-Ressource (XIV, 211 p. 52 illus., 47 illus. in color) txt rdacontent c rdamedia cr rdacarrier Astrophysics and Space Science Proceedings 60 1570-6605 Astrophysics Machine Learning Artificial Intelligence Astronomy, Observations and Techniques Machine learning Artificial intelligence Astronomy / Observations Bufano, Filomena edt Riggi, Simone edt Sciacca, Eva edt Schilliro, Francesco edt Erscheint auch als Druck-Ausgabe 978-3-031-34166-3 Erscheint auch als Druck-Ausgabe 978-3-031-34168-7 Erscheint auch als Druck-Ausgabe 978-3-031-34169-4 https://doi.org/10.1007/978-3-031-34167-0 Verlag URL des Erstveröffentlichers Volltext
spellingShingle	Machine Learning for Astrophysics Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022 Astrophysics Machine Learning Artificial Intelligence Astronomy, Observations and Techniques Machine learning Artificial intelligence Astronomy / Observations
title	Machine Learning for Astrophysics Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022
title_auth	Machine Learning for Astrophysics Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022
title_exact_search	Machine Learning for Astrophysics Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022
title_exact_search_txtP	Machine Learning for Astrophysics Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022
title_full	Machine Learning for Astrophysics Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022 edited by Filomena Bufano, Simone Riggi, Eva Sciacca, Francesco Schilliro
title_fullStr	Machine Learning for Astrophysics Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022 edited by Filomena Bufano, Simone Riggi, Eva Sciacca, Francesco Schilliro
title_full_unstemmed	Machine Learning for Astrophysics Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022 edited by Filomena Bufano, Simone Riggi, Eva Sciacca, Francesco Schilliro
title_short	Machine Learning for Astrophysics
title_sort	machine learning for astrophysics proceedings of the ml4astro international conference 30 may 1 jun 2022
title_sub	Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022
topic	Astrophysics Machine Learning Artificial Intelligence Astronomy, Observations and Techniques Machine learning Artificial intelligence Astronomy / Observations
topic_facet	Astrophysics Machine Learning Artificial Intelligence Astronomy, Observations and Techniques Machine learning Artificial intelligence Astronomy / Observations
url	https://doi.org/10.1007/978-3-031-34167-0
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