Artificial neural networks and machine learning – ICANN 2019: theoretical neural computation: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part I
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| Weitere Verfasser: | , , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2019]
|
| Schriftenreihe: | Lecture notes in computer science
11727 |
| Schlagworte: | |
| Online-Zugang: | BTU01 FHA01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 HTW01 TUM01 UBG01 UBM01 UBR01 UBT01 UBW01 UBY01 UER01 UPA01 Volltext |
| Beschreibung: | 1 Online-Ressource (xxx, 839 Seiten) 372 Illustrationen, 242 in Farbe |
| ISBN: | 9783030304874 |
| DOI: | 10.1007/978-3-030-30487-4 |
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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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| discipline | Informatik |
| doi_str_mv | 10.1007/978-3-030-30487-4 |
| format | Electronic eBook |
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| genre | (DE-588)1071861417 Konferenzschrift gnd-content |
| genre_facet | Konferenzschrift |
| id | DE-604.BV046189991 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-01T14:51:14Z |
| institution | BVB |
| isbn | 9783030304874 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031569376 |
| oclc_num | 1123120762 |
| 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 (xxx, 839 Seiten) 372 Illustrationen, 242 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: theoretical neural computation 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part I Lecture notes in computer science Artificial Intelligence Image Processing and Computer Vision Computer Systems Organization and Communication Networks Information Systems and Communication Service Algorithm Analysis and Problem Complexity Systems and Data Security Artificial intelligence Computer vision Computer network architectures Information systems Computer software Computer security Maschinelles Lernen (DE-588)4193754-5 gnd Neuronales Netz (DE-588)4226127-2 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4226127-2 (DE-588)4033447-8 (DE-588)1071861417 |
| title | Artificial neural networks and machine learning – ICANN 2019: theoretical neural computation 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part I |
| title_auth | Artificial neural networks and machine learning – ICANN 2019: theoretical neural computation 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part I |
| title_exact_search | Artificial neural networks and machine learning – ICANN 2019: theoretical neural computation 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part I |
| title_full | Artificial neural networks and machine learning – ICANN 2019: theoretical neural computation 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part I Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis (Eds.) |
| title_fullStr | Artificial neural networks and machine learning – ICANN 2019: theoretical neural computation 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part I Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis (Eds.) |
| title_full_unstemmed | Artificial neural networks and machine learning – ICANN 2019: theoretical neural computation 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part I Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis (Eds.) |
| title_short | Artificial neural networks and machine learning – ICANN 2019: theoretical neural computation |
| title_sort | artificial neural networks and machine learning icann 2019 theoretical neural computation 28th international conference on artificial neural networks munich germany september 17 19 2019 proceedings part i |
| title_sub | 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings, part I |
| topic | Artificial Intelligence Image Processing and Computer Vision Computer Systems Organization and Communication Networks Information Systems and Communication Service Algorithm Analysis and Problem Complexity Systems and Data Security Artificial intelligence Computer vision Computer network architectures Information systems Computer software Computer security Maschinelles Lernen (DE-588)4193754-5 gnd Neuronales Netz (DE-588)4226127-2 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Artificial Intelligence Image Processing and Computer Vision Computer Systems Organization and Communication Networks Information Systems and Communication Service Algorithm Analysis and Problem Complexity Systems and Data Security Artificial intelligence Computer vision Computer network architectures Information systems Computer software Computer security Maschinelles Lernen Neuronales Netz Künstliche Intelligenz Konferenzschrift |
| url | https://doi.org/10.1007/978-3-030-30487-4 |
| volume_link | (DE-604)BV014880109 |
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