UID:
almahu_9948017616402882
Format:
XXII, 647 p. 268 illus., 219 illus. in color.
,
online resource.
ISBN:
9783030041670
Series Statement:
Theoretical Computer Science and General Issues ; 11301
Content:
The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing, ICONIP 2018, held in Siem Reap, Cambodia, in December 2018. The 401 full papers presented were carefully reviewed and selected from 575 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The first volume, LNCS 11301, is organized in topical sections on deep neural networks, convolutional neural networks, recurrent neural networks, and spiking neural networks.
In:
Springer eBooks
Additional Edition:
Printed edition: ISBN 9783030041663
Additional Edition:
Printed edition: ISBN 9783030041687
Language:
English
Keywords:
Konferenzschrift
DOI:
10.1007/978-3-030-04167-0
URL:
https://doi.org/10.1007/978-3-030-04167-0
URL:
Volltext
(URL des Erstveröffentlichers)
URL:
Volltext
(lizenzpflichtig)
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