Availability: Artificial neural networks and machine learning – ICANN 2019: workshop and special sessions

Artificial neural networks and machine learning – ICANN 2019: workshop and special sessions: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings

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Bibliographic Details
Corporate Author:	ICANN (Veranstaltung) München (Author)
Other Authors:	Tetko, Igor V. (Editor), Kůrková, Věra 1948- (Editor), Karpov, Pavel (Editor), Theis, Fabian (Editor)
Format:	Electronic Conference Proceedings eBook
Language:	English
Published:	Cham Springer [2019]
Series:	Lecture notes in computer science 11731
Subjects:	Artificial Intelligence Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Computer Communication Networks Data Structures Discrete Mathematics in Computer Science Artificial intelligence Computer vision Computer software Data structures (Computer scienc Computational complexity Gehirn Nervennetz Künstliche Intelligenz Modell Neuronales Netz Anwendung Maschinelles Lernen Konferenzschrift
Links:	https://doi.org/10.1007/978-3-030-30493-5 https://doi.org/10.1007/978-3-030-30493-5 https://doi.org/10.1007/978-3-030-30493-5 https://doi.org/10.1007/978-3-030-30493-5 https://doi.org/10.1007/978-3-030-30493-5 https://doi.org/10.1007/978-3-030-30493-5 https://doi.org/10.1007/978-3-030-30493-5 https://doi.org/10.1007/978-3-030-30493-5 https://doi.org/10.1007/978-3-030-30493-5 https://doi.org/10.1007/978-3-030-30493-5 https://doi.org/10.1007/978-3-030-30493-5 https://doi.org/10.1007/978-3-030-30493-5 https://doi.org/10.1007/978-3-030-30493-5 https://doi.org/10.1007/978-3-030-30493-5 https://doi.org/10.1007/978-3-030-30493-5 https://doi.org/10.1007/978-3-030-30493-5 https://doi.org/10.1007/978-3-030-30493-5 https://doi.org/10.1007/978-3-030-30493-5 https://doi.org/10.1007/978-3-030-30493-5 https://doi.org/10.1007/978-3-030-30493-5 https://doi.org/10.1007/978-3-030-30493-5 https://doi.org/10.1007/978-3-030-30493-5
Physical Description:	1 Online-Ressource (xxxii, 852 Seiten) 295 Illustrationen, 211 in Farbe
ISBN:	9783030304935
DOI:	10.1007/978-3-030-30493-5

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physical	1 Online-Ressource (xxxii, 852 Seiten) 295 Illustrationen, 211 in Farbe
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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: workshop and special sessions 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings Lecture notes in computer science Artificial Intelligence Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Computer Communication Networks Data Structures Discrete Mathematics in Computer Science Artificial intelligence Computer vision Computer software Data structures (Computer scienc Computational complexity Gehirn (DE-588)4019752-9 gnd Nervennetz (DE-588)4041638-0 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Modell (DE-588)4039798-1 gnd Neuronales Netz (DE-588)4226127-2 gnd Anwendung (DE-588)4196864-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
subject_GND	(DE-588)4019752-9 (DE-588)4041638-0 (DE-588)4033447-8 (DE-588)4039798-1 (DE-588)4226127-2 (DE-588)4196864-5 (DE-588)4193754-5 (DE-588)1071861417
title	Artificial neural networks and machine learning – ICANN 2019: workshop and special sessions 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings
title_auth	Artificial neural networks and machine learning – ICANN 2019: workshop and special sessions 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings
title_exact_search	Artificial neural networks and machine learning – ICANN 2019: workshop and special sessions 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings
title_full	Artificial neural networks and machine learning – ICANN 2019: workshop and special sessions 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis (Eds.)
title_fullStr	Artificial neural networks and machine learning – ICANN 2019: workshop and special sessions 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis (Eds.)
title_full_unstemmed	Artificial neural networks and machine learning – ICANN 2019: workshop and special sessions 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis (Eds.)
title_short	Artificial neural networks and machine learning – ICANN 2019: workshop and special sessions
title_sort	artificial neural networks and machine learning icann 2019 workshop and special sessions 28th international conference on artificial neural networks munich germany september 17 19 2019 proceedings
title_sub	28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 : proceedings
topic	Artificial Intelligence Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Computer Communication Networks Data Structures Discrete Mathematics in Computer Science Artificial intelligence Computer vision Computer software Data structures (Computer scienc Computational complexity Gehirn (DE-588)4019752-9 gnd Nervennetz (DE-588)4041638-0 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Modell (DE-588)4039798-1 gnd Neuronales Netz (DE-588)4226127-2 gnd Anwendung (DE-588)4196864-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
topic_facet	Artificial Intelligence Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Computer Communication Networks Data Structures Discrete Mathematics in Computer Science Artificial intelligence Computer vision Computer software Data structures (Computer scienc Computational complexity Gehirn Nervennetz Künstliche Intelligenz Modell Neuronales Netz Anwendung Maschinelles Lernen Konferenzschrift
url	https://doi.org/10.1007/978-3-030-30493-5
volume_link	(DE-604)BV014880109
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