Artificial neural networks and machine learning – ICANN 2019: workshop and special sessions: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings
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Körperschaft: | |
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Weitere Verfasser: | , , , |
Format: | Elektronisch Tagungsbericht E-Book |
Sprache: | English |
Veröffentlicht: |
Cham
Springer
[2019]
|
Schriftenreihe: | Lecture notes in computer science
11731 |
Schlagworte: | |
Online-Zugang: | DE-634 DE-Aug4 DE-573 DE-M347 DE-92 DE-898 DE-859 DE-860 DE-861 DE-863 DE-862 DE-523 DE-91 DE-473 DE-19 DE-355 DE-703 DE-20 DE-706 DE-29 DE-739 Volltext |
Beschreibung: | 1 Online-Ressource (xxxii, 852 Seiten) 295 Illustrationen, 211 in Farbe |
ISBN: | 9783030304935 |
DOI: | 10.1007/978-3-030-30493-5 |
Internformat
MARC
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Datensatz im Suchindex
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author2 | Tetko, Igor V. Kůrková, Věra 1948- Karpov, Pavel Theis, Fabian |
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author_facet | Tetko, Igor V. Kůrková, Věra 1948- Karpov, Pavel Theis, Fabian ICANN (Veranstaltung) München |
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dewey-search | 006.3 |
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discipline | Informatik |
doi_str_mv | 10.1007/978-3-030-30493-5 |
format | Electronic Conference Proceeding eBook |
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genre | (DE-588)1071861417 Konferenzschrift gnd-content |
genre_facet | Konferenzschrift |
id | DE-604.BV046189989 |
illustrated | Illustrated |
indexdate | 2025-01-11T04:02:42Z |
institution | BVB |
institution_GND | (DE-588)1195721048 |
isbn | 9783030304935 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031569374 |
oclc_num | 1123078454 |
open_access_boolean | |
owner | 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 |
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 (xxxii, 852 Seiten) 295 Illustrationen, 211 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 |
publishDateSort | 2019 |
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: workshop and special sessions 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings Lecture notes in computer science Artificial Intelligence Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Computer Communication Networks Data Structures Discrete Mathematics in Computer Science Artificial intelligence Computer vision Computer software Data structures (Computer scienc Computational complexity Gehirn (DE-588)4019752-9 gnd Nervennetz (DE-588)4041638-0 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Modell (DE-588)4039798-1 gnd Neuronales Netz (DE-588)4226127-2 gnd Anwendung (DE-588)4196864-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
subject_GND | (DE-588)4019752-9 (DE-588)4041638-0 (DE-588)4033447-8 (DE-588)4039798-1 (DE-588)4226127-2 (DE-588)4196864-5 (DE-588)4193754-5 (DE-588)1071861417 |
title | Artificial neural networks and machine learning – ICANN 2019: workshop and special sessions 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings |
title_auth | Artificial neural networks and machine learning – ICANN 2019: workshop and special sessions 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings |
title_exact_search | Artificial neural networks and machine learning – ICANN 2019: workshop and special sessions 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings |
title_full | Artificial neural networks and machine learning – ICANN 2019: workshop and special sessions 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis (Eds.) |
title_fullStr | Artificial neural networks and machine learning – ICANN 2019: workshop and special sessions 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis (Eds.) |
title_full_unstemmed | Artificial neural networks and machine learning – ICANN 2019: workshop and special sessions 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis (Eds.) |
title_short | Artificial neural networks and machine learning – ICANN 2019: workshop and special sessions |
title_sort | artificial neural networks and machine learning icann 2019 workshop and special sessions 28th international conference on artificial neural networks munich germany september 17 19 2019 proceedings |
title_sub | 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings |
topic | Artificial Intelligence Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Computer Communication Networks Data Structures Discrete Mathematics in Computer Science Artificial intelligence Computer vision Computer software Data structures (Computer scienc Computational complexity Gehirn (DE-588)4019752-9 gnd Nervennetz (DE-588)4041638-0 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Modell (DE-588)4039798-1 gnd Neuronales Netz (DE-588)4226127-2 gnd Anwendung (DE-588)4196864-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
topic_facet | Artificial Intelligence Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Computer Communication Networks Data Structures Discrete Mathematics in Computer Science Artificial intelligence Computer vision Computer software Data structures (Computer scienc Computational complexity Gehirn Nervennetz Künstliche Intelligenz Modell Neuronales Netz Anwendung Maschinelles Lernen Konferenzschrift |
url | https://doi.org/10.1007/978-3-030-30493-5 |
volume_link | (DE-604)BV014880109 |
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