Availability: Artificial neural networks and machine learning – ICANN 2019: theoretical neural computation

Artificial neural networks and machine learning – ICANN 2019: theoretical neural computation: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part I

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Bibliographic Details
Other Authors:	Tetko, Igor V. (Editor), Kůrková, Věra 1948- (Editor), Karpov, Pavel (Editor), Theis, Fabian (Editor)
Format:	Electronic eBook
Language:	English
Published:	Cham Springer [2019]
Series:	Lecture notes in computer science 11727
Subjects:	Artificial Intelligence Image Processing and Computer Vision Computer Systems Organization and Communication Networks Information Systems and Communication Service Algorithm Analysis and Problem Complexity Systems and Data Security Artificial intelligence Computer vision Computer network architectures Information systems Computer software Computer security Maschinelles Lernen Neuronales Netz Künstliche Intelligenz Konferenzschrift
Links:	https://doi.org/10.1007/978-3-030-30487-4 https://doi.org/10.1007/978-3-030-30487-4 https://doi.org/10.1007/978-3-030-30487-4 https://doi.org/10.1007/978-3-030-30487-4 https://doi.org/10.1007/978-3-030-30487-4 https://doi.org/10.1007/978-3-030-30487-4 https://doi.org/10.1007/978-3-030-30487-4 https://doi.org/10.1007/978-3-030-30487-4 https://doi.org/10.1007/978-3-030-30487-4 https://doi.org/10.1007/978-3-030-30487-4 https://doi.org/10.1007/978-3-030-30487-4 https://doi.org/10.1007/978-3-030-30487-4 https://doi.org/10.1007/978-3-030-30487-4 https://doi.org/10.1007/978-3-030-30487-4 https://doi.org/10.1007/978-3-030-30487-4 https://doi.org/10.1007/978-3-030-30487-4 https://doi.org/10.1007/978-3-030-30487-4 https://doi.org/10.1007/978-3-030-30487-4 https://doi.org/10.1007/978-3-030-30487-4 https://doi.org/10.1007/978-3-030-30487-4 https://doi.org/10.1007/978-3-030-30487-4 https://doi.org/10.1007/978-3-030-30487-4
Physical Description:	1 Online-Ressource (xxx, 839 Seiten) 372 Illustrationen, 242 in Farbe
ISBN:	9783030304874
DOI:	10.1007/978-3-030-30487-4

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genre	(DE-588)1071861417 Konferenzschrift gnd-content
genre_facet	Konferenzschrift
id	DE-604.BV046189991
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indexdate	2024-12-20T18:45:33Z
institution	BVB
isbn	9783030304874
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-031569376
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physical	1 Online-Ressource (xxx, 839 Seiten) 372 Illustrationen, 242 in Farbe
psigel	ZDB-2-SCS ZDB-2-LNC ZDB-2-SCS_2019 ZDB-2-LNC_2019 ZDB-2-LNC ZDB-2-LNC_2019
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series	Lecture notes in computer science
series2	Lecture notes in computer science Theoretical computer science and general issues
spellingShingle	Artificial neural networks and machine learning – ICANN 2019: theoretical neural computation 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part I Lecture notes in computer science Artificial Intelligence Image Processing and Computer Vision Computer Systems Organization and Communication Networks Information Systems and Communication Service Algorithm Analysis and Problem Complexity Systems and Data Security Artificial intelligence Computer vision Computer network architectures Information systems Computer software Computer security Maschinelles Lernen (DE-588)4193754-5 gnd Neuronales Netz (DE-588)4226127-2 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd
subject_GND	(DE-588)4193754-5 (DE-588)4226127-2 (DE-588)4033447-8 (DE-588)1071861417
title	Artificial neural networks and machine learning – ICANN 2019: theoretical neural computation 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part I
title_auth	Artificial neural networks and machine learning – ICANN 2019: theoretical neural computation 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part I
title_exact_search	Artificial neural networks and machine learning – ICANN 2019: theoretical neural computation 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part I
title_full	Artificial neural networks and machine learning – ICANN 2019: theoretical neural computation 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part I Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis (Eds.)
title_fullStr	Artificial neural networks and machine learning – ICANN 2019: theoretical neural computation 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part I Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis (Eds.)
title_full_unstemmed	Artificial neural networks and machine learning – ICANN 2019: theoretical neural computation 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part I Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis (Eds.)
title_short	Artificial neural networks and machine learning – ICANN 2019: theoretical neural computation
title_sort	artificial neural networks and machine learning icann 2019 theoretical neural computation 28th international conference on artificial neural networks munich germany september 17 19 2019 proceedings part i
title_sub	28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part I
topic	Artificial Intelligence Image Processing and Computer Vision Computer Systems Organization and Communication Networks Information Systems and Communication Service Algorithm Analysis and Problem Complexity Systems and Data Security Artificial intelligence Computer vision Computer network architectures Information systems Computer software Computer security Maschinelles Lernen (DE-588)4193754-5 gnd Neuronales Netz (DE-588)4226127-2 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd
topic_facet	Artificial Intelligence Image Processing and Computer Vision Computer Systems Organization and Communication Networks Information Systems and Communication Service Algorithm Analysis and Problem Complexity Systems and Data Security Artificial intelligence Computer vision Computer network architectures Information systems Computer software Computer security Maschinelles Lernen Neuronales Netz Künstliche Intelligenz Konferenzschrift
url	https://doi.org/10.1007/978-3-030-30487-4
volume_link	(DE-604)BV014880109
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