Verfügbarkeit: Artificial neural networks and machine learning – ICANN 2019: deep learning

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

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Bibliographische Detailangaben
Körperschaft:	ICANN (Veranstaltung) München (VerfasserIn)
Weitere beteiligte Personen:	Tetko, Igor V. (HerausgeberIn), Kůrková, Věra 1948- (HerausgeberIn), Karpov, Pavel (HerausgeberIn), Theis, Fabian (HerausgeberIn)
Format:	Elektronisch Tagungsbericht E-Book
Sprache:	Englisch
Veröffentlicht:	Cham Springer [2019]
Schriftenreihe:	Lecture notes in computer science 11728
Schlagwörter:	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 Neuronales Netz Maschinelles Lernen Künstliche Intelligenz Konferenzschrift
Links:	https://doi.org/10.1007/978-3-030-30484-3 https://doi.org/10.1007/978-3-030-30484-3 https://doi.org/10.1007/978-3-030-30484-3 https://doi.org/10.1007/978-3-030-30484-3 https://doi.org/10.1007/978-3-030-30484-3 https://doi.org/10.1007/978-3-030-30484-3 https://doi.org/10.1007/978-3-030-30484-3 https://doi.org/10.1007/978-3-030-30484-3 https://doi.org/10.1007/978-3-030-30484-3 https://doi.org/10.1007/978-3-030-30484-3 https://doi.org/10.1007/978-3-030-30484-3 https://doi.org/10.1007/978-3-030-30484-3 https://doi.org/10.1007/978-3-030-30484-3 https://doi.org/10.1007/978-3-030-30484-3 https://doi.org/10.1007/978-3-030-30484-3 https://doi.org/10.1007/978-3-030-30484-3 https://doi.org/10.1007/978-3-030-30484-3 https://doi.org/10.1007/978-3-030-30484-3 https://doi.org/10.1007/978-3-030-30484-3 https://doi.org/10.1007/978-3-030-30484-3 https://doi.org/10.1007/978-3-030-30484-3 https://doi.org/10.1007/978-3-030-30484-3
Umfang:	1 Online-Ressource (xxx, 807 Seiten) 294 Illustrationen, 193 in Farbe
ISBN:	9783030304843
DOI:	10.1007/978-3-030-30484-3

Internformat

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Datensatz im Suchindex

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genre	(DE-588)1071861417 Konferenzschrift gnd-content
genre_facet	Konferenzschrift
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indexdate	2024-12-20T18:45:33Z
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isbn	9783030304843
language	English
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physical	1 Online-Ressource (xxx, 807 Seiten) 294 Illustrationen, 193 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: deep learning 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part II 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 Neuronales Netz (DE-588)4226127-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd
subject_GND	(DE-588)4226127-2 (DE-588)4193754-5 (DE-588)4033447-8 (DE-588)1071861417
title	Artificial neural networks and machine learning – ICANN 2019: deep learning 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part II
title_auth	Artificial neural networks and machine learning – ICANN 2019: deep learning 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part II
title_exact_search	Artificial neural networks and machine learning – ICANN 2019: deep learning 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part II
title_full	Artificial neural networks and machine learning – ICANN 2019: deep learning 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part II Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis (Eds.)
title_fullStr	Artificial neural networks and machine learning – ICANN 2019: deep learning 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part II Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis (Eds.)
title_full_unstemmed	Artificial neural networks and machine learning – ICANN 2019: deep learning 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part II Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis (Eds.)
title_short	Artificial neural networks and machine learning – ICANN 2019: deep learning
title_sort	artificial neural networks and machine learning icann 2019 deep learning 28th international conference on artificial neural networks munich germany september 17 19 2019 proceedings part ii
title_sub	28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part II
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 Neuronales Netz (DE-588)4226127-2 gnd Maschinelles Lernen (DE-588)4193754-5 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 Neuronales Netz Maschinelles Lernen Künstliche Intelligenz Konferenzschrift
url	https://doi.org/10.1007/978-3-030-30484-3
volume_link	(DE-604)BV014880109
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