Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning

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28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19,2019, Proceedings, Part II, Lecture Notes in Computer Science 11728 – Theoretical Computer Science and General Issues

ISBN: 3030304833
ISBN 13: 9783030304836
Herausgeber: Igor V Tetko/Vera Kurková/Pavel Karpov et al
Verlag: Springer Verlag GmbH
Umfang: xxx, 807 S., 101 s/w Illustr., 193 farbige Illustr., 807 p. 294 illus., 193 illus. in color.
Erscheinungsdatum: 05.09.2019
Auflage: 1/2019
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 7858323 Kategorie:

Beschreibung

The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019.  The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions. 

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Springer Verlag GmbH
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69121 Heidelberg
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E-Mail: juergen.hartmann@springer.com

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