Artificial neural networks and machine learning – ICANN 2019: deep learning: 28th International conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings, part II
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| Corporate Author: | |
|---|---|
| Other Authors: | , , , |
| Format: | Electronic Conference Proceeding eBook |
| Language: | English |
| Published: |
Cham
Springer
[2019]
|
| Series: | Lecture notes in computer science
11728 |
| Subjects: | |
| Online Access: | 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 |
| Physical Description: | 1 Online-Ressource (xxx, 807 Seiten) 294 Illustrationen, 193 in Farbe |
| ISBN: | 9783030304843 |
| DOI: | 10.1007/978-3-030-30484-3 |
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| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
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| genre | (DE-588)1071861417 Konferenzschrift 2019 München gnd-content |
| genre_facet | Konferenzschrift 2019 München |
| id | DE-604.BV046189988 |
| illustrated | Illustrated |
| indexdate | 2025-03-13T04:01:04Z |
| institution | BVB |
| institution_GND | (DE-588)1195721048 |
| isbn | 9783030304843 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031569373 |
| oclc_num | 1123115944 |
| 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, 807 Seiten) 294 Illustrationen, 193 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: deep learning 28th International conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings, part II 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 Künstliche Intelligenz (DE-588)4033447-8 gnd Neuronales Netz (DE-588)4226127-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4226127-2 (DE-588)4193754-5 (DE-588)1071861417 |
| title | Artificial neural networks and machine learning – ICANN 2019: deep learning 28th International conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings, part II |
| title_auth | Artificial neural networks and machine learning – ICANN 2019: deep learning 28th International conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings, part II |
| title_exact_search | Artificial neural networks and machine learning – ICANN 2019: deep learning 28th International conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings, part II |
| title_full | Artificial neural networks and machine learning – ICANN 2019: deep learning 28th International conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings, part II Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis (Eds.) |
| title_fullStr | Artificial neural networks and machine learning – ICANN 2019: deep learning 28th International conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings, part II Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis (Eds.) |
| title_full_unstemmed | Artificial neural networks and machine learning – ICANN 2019: deep learning 28th International conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings, part II Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis (Eds.) |
| title_short | Artificial neural networks and machine learning – ICANN 2019: deep learning |
| title_sort | artificial neural networks and machine learning icann 2019 deep learning 28th international conference on artificial neural networks munich germany september 17 19 2019 proceedings part ii |
| title_sub | 28th International conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings, part II |
| 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 Künstliche Intelligenz (DE-588)4033447-8 gnd Neuronales Netz (DE-588)4226127-2 gnd Maschinelles Lernen (DE-588)4193754-5 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 Künstliche Intelligenz Neuronales Netz Maschinelles Lernen Konferenzschrift 2019 München |
| url | https://doi.org/10.1007/978-3-030-30484-3 |
| volume_link | (DE-604)BV014880109 |
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