Neural information processing : 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings. Part I / Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu (eds.).
ICONIP (Conference) (23rd : 2016 : Kyoto, Japan); Hirose, Akira, editor.; Ozawa, Seiichi, editor.; Doya, Kenji, editor.; Ikeda, Kazushi, editor.; Lee, Minho, editor.; Liu, Derong, 1963- editor.
2016
Q337.5
Available Online

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Title Neural information processing : 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings. Part I / Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu (eds.).
Meeting Name ICONIP (Conference) (23rd : 2016 : Kyoto, Japan)
ISBN 9783319466873 (electronic book)
3319466879 (electronic book)
9783319466866
DOI https://doi.org/10.1007/978-3-319-46687-3
Published Cham, Switzerland : Springer, 2016.
Language English
Description 1 online resource (xix, 639 pages) : illustrations.
Item Number 10.1007/978-3-319-46687-3 doi
Call Number Q337.5
Dewey Decimal Classification 006.4
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 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.
Note International conference proceedings.
Includes author index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed October 10, 2016).
Added Author Hirose, Akira, editor.
Ozawa, Seiichi, editor.
Doya, Kenji, editor.
Ikeda, Kazushi, editor.
Lee, Minho, editor.
Liu, Derong, 1963- editor.
Series Lecture notes in computer science ; 9947.
LNCS sublibrary. SL 1, Theoretical computer science and general issues.
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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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