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001 978-3-319-46687-3
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007 cr nn 008mamaa
008 160928s2016 gw | s |||| 0|eng d
020 _a9783319466873
_9978-3-319-46687-3
024 7 _a10.1007/978-3-319-46687-3
_2doi
050 4 _aQ337.5
050 4 _aTK7882.P3
072 7 _aUYQP
_2bicssc
072 7 _aCOM016000
_2bisacsh
082 0 4 _a006.4
_223
245 1 0 _aNeural Information Processing
_h[electronic resource] :
_b23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part I /
_cedited by Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXIX, 639 p. 250 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v9947
505 0 _aDeep 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.
520 _aThe 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.
650 0 _aComputer science.
650 0 _aComputers.
650 0 _aData mining.
650 0 _aArtificial intelligence.
650 0 _aImage processing.
650 0 _aPattern recognition.
650 1 4 _aComputer Science.
650 2 4 _aPattern Recognition.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aComputation by Abstract Devices.
650 2 4 _aData Mining and Knowledge Discovery.
700 1 _aHirose, Akira.
_eeditor.
700 1 _aOzawa, Seiichi.
_eeditor.
700 1 _aDoya, Kenji.
_eeditor.
700 1 _aIkeda, Kazushi.
_eeditor.
700 1 _aLee, Minho.
_eeditor.
700 1 _aLiu, Derong.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319466866
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v9947
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-46687-3
912 _aZDB-2-SCS
912 _aZDB-2-LNC
942 _cEBK
999 _c53888
_d53888