Artificial neural networks and machine learning – ICANN 2024: 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, proceedings, part VII
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Körperschaft: | |
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Weitere Verfasser: | , , , |
Format: | Elektronisch Tagungsbericht E-Book |
Sprache: | English |
Veröffentlicht: |
Cham, Switzerland
Springer
[2024]
|
Ausgabe: | 1st ed. 2024 |
Schriftenreihe: | Lecture notes in computer science
15022 |
Schlagworte: | |
Online-Zugang: | DE-522 DE-634 DE-Aug4 DE-1050 DE-573 DE-M347 DE-92 DE-898 DE-859 DE-860 DE-861 DE-863 DE-862 DE-523 DE-91 DE-384 DE-473 DE-19 DE-355 DE-703 DE-20 DE-706 DE-824 DE-29 DE-739 Volltext |
Beschreibung: | 1 Online-Ressource (xxxiii, 450 Seiten) 102 Illustrationen, 91 in Farbe |
ISBN: | 9783031723506 |
ISSN: | 1611-3349 |
DOI: | 10.1007/978-3-031-72350-6 |
Internformat
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Datensatz im Suchindex
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adam_text | |
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author2 | Wand, Michael Malinovská, Kristína Schmidhuber, Jürgen 1963- Tetko, Igor |
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author_corporate | International Conference on Artificial Neural Networks Lugano |
author_corporate_role | aut |
author_facet | Wand, Michael Malinovská, Kristína Schmidhuber, Jürgen 1963- Tetko, Igor International Conference on Artificial Neural Networks Lugano |
author_sort | International Conference on Artificial Neural Networks Lugano |
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discipline | Informatik |
doi_str_mv | 10.1007/978-3-031-72350-6 |
edition | 1st ed. 2024 |
format | Electronic Conference Proceeding eBook |
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genre | (DE-588)1071861417 Konferenzschrift 2024 Lugano gnd-content |
genre_facet | Konferenzschrift 2024 Lugano |
id | DE-604.BV049903565 |
illustrated | Illustrated |
indexdate | 2024-12-29T04:06:37Z |
institution | BVB |
institution_GND | (DE-588)1346028516 |
isbn | 9783031723506 |
issn | 1611-3349 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035242476 |
oclc_num | 1466930717 |
open_access_boolean | |
owner | DE-83 DE-19 DE-BY-UBM DE-522 DE-859 DE-355 DE-BY-UBR DE-739 DE-M347 DE-862 DE-BY-FWS DE-898 DE-BY-UBR DE-703 DE-863 DE-BY-FWS DE-384 DE-824 DE-861 DE-20 DE-473 DE-BY-UBG DE-92 DE-523 DE-Aug4 DE-573 DE-706 DE-29 DE-1050 DE-634 DE-91 DE-BY-TUM DE-860 |
owner_facet | DE-83 DE-19 DE-BY-UBM DE-522 DE-859 DE-355 DE-BY-UBR DE-739 DE-M347 DE-862 DE-BY-FWS DE-898 DE-BY-UBR DE-703 DE-863 DE-BY-FWS DE-384 DE-824 DE-861 DE-20 DE-473 DE-BY-UBG DE-92 DE-523 DE-Aug4 DE-573 DE-706 DE-29 DE-1050 DE-634 DE-91 DE-BY-TUM DE-860 |
physical | 1 Online-Ressource (xxxiii, 450 Seiten) 102 Illustrationen, 91 in Farbe |
psigel | ZDB-2-SCS ZDB-2-LNC ZDB-2-SCS_2024 ZDB-2-LNC_2024 ZDB-2-LNC ZDB-2-LNC_2024 |
publishDate | 2024 |
publishDateSearch | 2024 |
publishDateSort | 2024 |
publisher | Springer |
record_format | marc |
series | Lecture notes in computer science |
series2 | Lecture notes in computer science |
spellingShingle | Artificial neural networks and machine learning – ICANN 2024 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, proceedings, part VII Artificial Intelligence Computing Milieux Computer and Information Systems Applications Computer Communication Networks Artificial intelligence Computers Application software Computer networks Gehirn (DE-588)4019752-9 gnd Nervennetz (DE-588)4041638-0 gnd Modell (DE-588)4039798-1 gnd Neuronales Netz (DE-588)4226127-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Anwendung (DE-588)4196864-5 gnd Lecture notes in computer science |
subject_GND | (DE-588)4019752-9 (DE-588)4041638-0 (DE-588)4039798-1 (DE-588)4226127-2 (DE-588)4193754-5 (DE-588)4196864-5 (DE-588)1071861417 |
title | Artificial neural networks and machine learning – ICANN 2024 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, proceedings, part VII |
title_auth | Artificial neural networks and machine learning – ICANN 2024 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, proceedings, part VII |
title_exact_search | Artificial neural networks and machine learning – ICANN 2024 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, proceedings, part VII |
title_full | Artificial neural networks and machine learning – ICANN 2024 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, proceedings, part VII Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko, editors |
title_fullStr | Artificial neural networks and machine learning – ICANN 2024 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, proceedings, part VII Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko, editors |
title_full_unstemmed | Artificial neural networks and machine learning – ICANN 2024 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, proceedings, part VII Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko, editors |
title_short | Artificial neural networks and machine learning – ICANN 2024 |
title_sort | artificial neural networks and machine learning icann 2024 33rd international conference on artificial neural networks lugano switzerland september 17 20 2024 proceedings part vii |
title_sub | 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, proceedings, part VII |
topic | Artificial Intelligence Computing Milieux Computer and Information Systems Applications Computer Communication Networks Artificial intelligence Computers Application software Computer networks Gehirn (DE-588)4019752-9 gnd Nervennetz (DE-588)4041638-0 gnd Modell (DE-588)4039798-1 gnd Neuronales Netz (DE-588)4226127-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Anwendung (DE-588)4196864-5 gnd |
topic_facet | Artificial Intelligence Computing Milieux Computer and Information Systems Applications Computer Communication Networks Artificial intelligence Computers Application software Computer networks Gehirn Nervennetz Modell Neuronales Netz Maschinelles Lernen Anwendung Konferenzschrift 2024 Lugano |
url | https://doi.org/10.1007/978-3-031-72350-6 |
volume_link | (DE-604)BV014880109 |
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