Artificial neural networks and machine learning – ICANN 2024: 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, proceedings, part VIII
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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
15023 |
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 (xxxiv, 463 Seiten) 128 Illustrationen, 123 in Farbe |
ISBN: | 9783031723537 |
ISSN: | 1611-3349 |
DOI: | 10.1007/978-3-031-72353-7 |
Internformat
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Datensatz im Suchindex
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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 | 10.1007/978-3-031-72353-7 |
edition | 1st ed. 2024 |
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genre | (DE-588)1071861417 Konferenzschrift 2024 Lugano gnd-content |
genre_facet | Konferenzschrift 2024 Lugano |
id | DE-604.BV049903573 |
illustrated | Illustrated |
indexdate | 2024-12-29T04:05:50Z |
institution | BVB |
institution_GND | (DE-588)1346028516 |
isbn | 9783031723537 |
issn | 1611-3349 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035242484 |
oclc_num | 1466910354 |
open_access_boolean | |
owner | DE-859 DE-703 DE-863 DE-BY-FWS DE-739 DE-83 DE-898 DE-BY-UBR DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-29 DE-M347 DE-634 DE-1050 DE-861 DE-91 DE-BY-TUM DE-20 DE-573 DE-473 DE-BY-UBG DE-523 DE-384 DE-860 DE-92 DE-706 DE-522 DE-824 DE-Aug4 DE-862 DE-BY-FWS |
owner_facet | DE-859 DE-703 DE-863 DE-BY-FWS DE-739 DE-83 DE-898 DE-BY-UBR DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-29 DE-M347 DE-634 DE-1050 DE-861 DE-91 DE-BY-TUM DE-20 DE-573 DE-473 DE-BY-UBG DE-523 DE-384 DE-860 DE-92 DE-706 DE-522 DE-824 DE-Aug4 DE-862 DE-BY-FWS |
physical | 1 Online-Ressource (xxxiv, 463 Seiten) 128 Illustrationen, 123 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 VIII 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 VIII |
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 VIII |
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 VIII |
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 VIII 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 VIII 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 VIII 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 viii |
title_sub | 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, proceedings, part VIII |
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/10.1007/978-3-031-72353-7 |
volume_link | (DE-604)BV014880109 |
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