Verfügbarkeit: Artificial neural networks and machine learning

Artificial neural networks and machine learning – ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings, part IV

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Bibliographische Detailangaben
Körperschaft:	ICANN (Veranstaltung) Bristol (VerfasserIn)
Weitere Verfasser:	Pimenidis, Elias (HerausgeberIn), Angelov, Plamen (HerausgeberIn), Jayne, Chrisina (HerausgeberIn), Papaleonidas, Antonios (HerausgeberIn), Aydin, Mehmet (HerausgeberIn)
Format:	Elektronisch Tagungsbericht E-Book
Sprache:	English
Veröffentlicht:	Cham, Switzerland Springer [2022]
Schriftenreihe:	Lecture notes in computer science 13532
Schlagworte:	Artificial Intelligence Computer and Information Systems Applications Computer Vision Computer Engineering and Networks Artificial intelligence Application software Computer vision Computer engineering Computer networks Maschinelles Lernen Neuronales Netz Gehirn Nervennetz Anwendung Modell Konferenzschrift > 2022 > Bristol
Online-Zugang:	BTU01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 HTW01 TUM01 UBA01 UBG01 UBM01 UBR01 UBT01 UBW01 UBY01 UEI01 UER01 UPA01 Volltext
Beschreibung:	1 Online-Ressource (xxii, 795 Seiten) 280 Illustrationen, 259 in Farbe
ISBN:	9783031159374
ISSN:	1611-3349
DOI:	10.1007/978-3-031-15937-4

Internformat

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genre	(DE-588)1071861417 Konferenzschrift 2022 Bristol gnd-content
genre_facet	Konferenzschrift 2022 Bristol
id	DE-604.BV048495935
illustrated	Not Illustrated
index_date	2024-07-03T20:43:17Z
indexdate	2024-08-01T10:50:45Z
institution	BVB
institution_GND	(DE-588)1270763067
isbn	9783031159374
issn	1611-3349
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-033873290
oclc_num	1347213408
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owner	DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634
owner_facet	DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634
physical	1 Online-Ressource (xxii, 795 Seiten) 280 Illustrationen, 259 in Farbe
psigel	ZDB-2-SCS ZDB-2-LNC ZDB-2-SCS_2022 ZDB-2-LNC_2022 ZDB-2-LNC ZDB-2-LNC_2022
publishDate	2022
publishDateSearch	2022
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publisher	Springer
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series	Lecture notes in computer science
series2	Lecture notes in computer science
spellingShingle	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings, part IV Lecture notes in computer science Artificial Intelligence Computer and Information Systems Applications Computer Vision Computer Engineering and Networks Artificial intelligence Application software Computer vision Computer engineering Computer networks Maschinelles Lernen (DE-588)4193754-5 gnd Neuronales Netz (DE-588)4226127-2 gnd Gehirn (DE-588)4019752-9 gnd Nervennetz (DE-588)4041638-0 gnd Anwendung (DE-588)4196864-5 gnd Modell (DE-588)4039798-1 gnd
subject_GND	(DE-588)4193754-5 (DE-588)4226127-2 (DE-588)4019752-9 (DE-588)4041638-0 (DE-588)4196864-5 (DE-588)4039798-1 (DE-588)1071861417
title	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings, part IV
title_auth	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings, part IV
title_exact_search	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings, part IV
title_exact_search_txtP	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings, part IV
title_full	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings, part IV Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin (eds.)
title_fullStr	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings, part IV Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin (eds.)
title_full_unstemmed	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings, part IV Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin (eds.)
title_short	Artificial neural networks and machine learning – ICANN 2022
title_sort	artificial neural networks and machine learning icann 2022 31st international conference on artificial neural networks bristol uk september 6 9 2022 proceedings part iv
title_sub	31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings, part IV
topic	Artificial Intelligence Computer and Information Systems Applications Computer Vision Computer Engineering and Networks Artificial intelligence Application software Computer vision Computer engineering Computer networks Maschinelles Lernen (DE-588)4193754-5 gnd Neuronales Netz (DE-588)4226127-2 gnd Gehirn (DE-588)4019752-9 gnd Nervennetz (DE-588)4041638-0 gnd Anwendung (DE-588)4196864-5 gnd Modell (DE-588)4039798-1 gnd
topic_facet	Artificial Intelligence Computer and Information Systems Applications Computer Vision Computer Engineering and Networks Artificial intelligence Application software Computer vision Computer engineering Computer networks Maschinelles Lernen Neuronales Netz Gehirn Nervennetz Anwendung Modell Konferenzschrift 2022 Bristol
url	https://doi.org/10.1007/978-3-031-15937-4
volume_link	(DE-604)BV014880109
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