Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation

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28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19,2019, Proceedings, Part I, Lecture Notes in Computer Science 11727 – Theoretical Computer Science and General Issues

ISBN: 3030304868
ISBN 13: 9783030304867
Herausgeber: Igor V Tetko/Vera Kurková/Pavel Karpov et al
Verlag: Springer Verlag GmbH
Umfang: xxx, 839 S., 130 s/w Illustr., 242 farbige Illustr., 839 p. 372 illus., 242 illus. in color.
Erscheinungsdatum: 06.09.2019
Auflage: 1/2019
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 7858403 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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