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Neural Information Processing: 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16–21, 2016, Proceedings, Part IV

Edited by Akira Hirose, Edited by Seiichi Ozawa, Edited by Kenji Doya, Edited by Kazushi Ikeda, Edited by Minho Lee, Edited by Derong Liu

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| book description |

The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitues the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data analysis; robotics and control; bio-inspired/energy efficient information processing; whole brain architecture; neurodynamics; bioinformatics; biomedical engineering; data mining and cybersecurity workshop; machine learning; neuromorphic hardware; sensory perception; pattern recognition; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological and graph based clustering methods; computational intelligence; data mining; deep neural networks; computational and cognitive neurosciences; theory and algorithms.

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Normally shipped | This title will take longer to obtain, and should be delivered in 6-8 weeks
Publisher | Springer International Publishing AG
Published date | 30 Sep 2016
Language |
Format | Paperback / softback
Pages | 663
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-3194-6680-4
Readership Age |
BISAC | computers / data processing / optical data processing


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