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Neural information processing : 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings. Part I

Author: Akira HiroseSeiichi OzawaKenji DoyaKazushi IkedaMinho LeeAll authors
Publisher: Cham, Switzerland : Springer, 2016.
Series: Lecture notes in computer science, 9947.; LNCS sublibrary., SL 1,, Theoretical computer science and general issues.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Database:WorldCat
Summary:
The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitutes 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  Read more...
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Details

Genre/Form: Electronic books
Conference papers and proceedings
Congresses
Additional Physical Format: Printed edition:
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Akira Hirose; Seiichi Ozawa; Kenji Doya; Kazushi Ikeda; Minho Lee; Derong Liu
ISBN: 9783319466873 3319466879 3319466860 9783319466866
OCLC Number: 960195458
Notes: International conference proceedings.
Includes author index.
Description: 1 online resource (xix, 639 pages) : illustrations.
Contents: 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.
Series Title: Lecture notes in computer science, 9947.; LNCS sublibrary., SL 1,, Theoretical computer science and general issues.
Other Titles: ICONIP 2016
Responsibility: Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu (eds.).
More information:

Abstract:

The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitutes 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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