Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 114,22
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In den WarenkorbZustand: New. In.
Taschenbuch. Zustand: Neu. Neural Information Processing | 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings, Part IV | Tom Gedeon (u. a.) | Taschenbuch | xxiv | Englisch | 2019 | Springer | EAN 9783030368074 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2020
ISBN 10: 3030368076 ISBN 13: 9783030368074
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 158,78
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In den WarenkorbPaperback. Zustand: Brand New. 808 pages. 9.25x6.10x1.77 inches. In Stock.
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3030368076 ISBN 13: 9783030368074
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The two-volume set CCIS 1142 and 1143 constitutes thoroughly refereed contributions presented at the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019.For ICONIP 2019 a total of 345 papers was carefully reviewed and selected for publication out of 645 submissions. The 168 papers included in this volume set were organized in topical sections as follows: adversarial networks and learning; convolutional neural networks; deep neural networks; embeddings and feature fusion; human centred computing; human centred computing and medicine; human centred computing for emotion; hybrid models; image processing by neural techniques; learning from incomplete data; model compression and optimization; neural network applications; neural network models; semantic and graph based approaches; social network computing; spiking neuron and related models; text computing using neural techniques; time-series and related models; and unsupervised neural models.