Neural information processing: 30th international conference, ICONIP 2023, Changsha, China, November 20–23, 2023, proceedings, part I
Gespeichert in:
Körperschaft: | |
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Weitere Verfasser: | , , , , |
Format: | Elektronisch Tagungsbericht E-Book |
Sprache: | English |
Veröffentlicht: |
Singapore
Springer
[2024]
|
Schriftenreihe: | Lecture notes in computer science
14447 |
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 (xxi, 595 Seiten) 190 Illustrationen, 176 in Farbe |
ISBN: | 9789819980796 |
ISSN: | 1611-3349 |
DOI: | 10.1007/978-981-99-8079-6 |
Internformat
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Datensatz im Suchindex
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author2 | Luo, Biao Cheng, Long Wu, Zheng-Guang Li, Hongyi Li, Chaojie |
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author_corporate | International Conference on Neural Information Processing Changsha |
author_corporate_role | aut |
author_facet | Luo, Biao Cheng, Long Wu, Zheng-Guang Li, Hongyi Li, Chaojie International Conference on Neural Information Processing Changsha |
author_sort | International Conference on Neural Information Processing Changsha |
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dewey-tens | 000 - Computer science, information, general works |
discipline | Biologie Informatik |
discipline_str_mv | Biologie Informatik |
doi_str_mv | 10.1007/978-981-99-8079-6 |
format | Electronic Conference Proceeding eBook |
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genre | (DE-588)1071861417 Konferenzschrift 2023 Changsha gnd-content |
genre_facet | Konferenzschrift 2023 Changsha |
id | DE-604.BV049441813 |
illustrated | Not Illustrated |
index_date | 2024-07-03T23:12:09Z |
indexdate | 2024-10-26T04:00:43Z |
institution | BVB |
institution_GND | (DE-588)1313865141 |
isbn | 9789819980796 |
issn | 1611-3349 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034787779 |
oclc_num | 1414551672 |
open_access_boolean | |
owner | 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-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-522 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634 DE-83 |
owner_facet | 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-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-522 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634 DE-83 |
physical | 1 Online-Ressource (xxi, 595 Seiten) 190 Illustrationen, 176 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 | Neural information processing 30th international conference, ICONIP 2023, Changsha, China, November 20–23, 2023, proceedings, part I Lecture notes in computer science Automated Pattern Recognition Data Mining and Knowledge Discovery Machine Learning Computer Application in Social and Behavioral Sciences Pattern recognition systems Data mining Machine learning Social sciences / Data processing Kognitionswissenschaft (DE-588)4193780-6 gnd Soft Computing (DE-588)4455833-8 gnd Informationsverarbeitung (DE-588)4161678-9 gnd Neuronales Netz (DE-588)4226127-2 gnd Biocomputer (DE-588)4270224-0 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
subject_GND | (DE-588)4193780-6 (DE-588)4455833-8 (DE-588)4161678-9 (DE-588)4226127-2 (DE-588)4270224-0 (DE-588)4193754-5 (DE-588)1071861417 |
title | Neural information processing 30th international conference, ICONIP 2023, Changsha, China, November 20–23, 2023, proceedings, part I |
title_auth | Neural information processing 30th international conference, ICONIP 2023, Changsha, China, November 20–23, 2023, proceedings, part I |
title_exact_search | Neural information processing 30th international conference, ICONIP 2023, Changsha, China, November 20–23, 2023, proceedings, part I |
title_exact_search_txtP | Neural information processing 30th international conference, ICONIP 2023, Changsha, China, November 20–23, 2023, proceedings, part I |
title_full | Neural information processing 30th international conference, ICONIP 2023, Changsha, China, November 20–23, 2023, proceedings, part I Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li, editors |
title_fullStr | Neural information processing 30th international conference, ICONIP 2023, Changsha, China, November 20–23, 2023, proceedings, part I Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li, editors |
title_full_unstemmed | Neural information processing 30th international conference, ICONIP 2023, Changsha, China, November 20–23, 2023, proceedings, part I Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li, editors |
title_short | Neural information processing |
title_sort | neural information processing 30th international conference iconip 2023 changsha china november 20 23 2023 proceedings part i |
title_sub | 30th international conference, ICONIP 2023, Changsha, China, November 20–23, 2023, proceedings, part I |
topic | Automated Pattern Recognition Data Mining and Knowledge Discovery Machine Learning Computer Application in Social and Behavioral Sciences Pattern recognition systems Data mining Machine learning Social sciences / Data processing Kognitionswissenschaft (DE-588)4193780-6 gnd Soft Computing (DE-588)4455833-8 gnd Informationsverarbeitung (DE-588)4161678-9 gnd Neuronales Netz (DE-588)4226127-2 gnd Biocomputer (DE-588)4270224-0 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
topic_facet | Automated Pattern Recognition Data Mining and Knowledge Discovery Machine Learning Computer Application in Social and Behavioral Sciences Pattern recognition systems Data mining Machine learning Social sciences / Data processing Kognitionswissenschaft Soft Computing Informationsverarbeitung Neuronales Netz Biocomputer Maschinelles Lernen Konferenzschrift 2023 Changsha |
url | https://doi.org/10.1007/978-981-99-8079-6 |
volume_link | (DE-604)BV014880109 |
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