Holdings: 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
Online Access:	BTU01 FHA01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 HTW01 TUM01 UBG01 UBM01 UBR01 UBT01 UBW01 UBY01 UER01 UPA01 Volltext
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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Record in the Search Index

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genre	(DE-588)1071861417 Konferenzschrift gnd-content
genre_facet	Konferenzschrift
id	DE-604.BV046189991
illustrated	Not Illustrated
indexdate	2025-02-20T06:58:58Z
institution	BVB
isbn	9783030304874
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-031569376
oclc_num	1123120762
open_access_boolean
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owner_facet	DE-355 DE-BY-UBR DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-20 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634
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
publishDate	2019
publishDateSearch	2019
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publisher	Springer
record_format	marc
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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