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001 | 978-3-319-46672-9 | ||
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_a9783319466729 _9978-3-319-46672-9 |
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024 | 7 |
_a10.1007/978-3-319-46672-9 _2doi |
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050 | 4 | _aTK7882.P3 | |
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_aNeural Information Processing _h[electronic resource] : _b23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part II / _cedited by Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
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300 |
_aXIX, 739 p. 252 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v9948 |
|
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 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. . | ||
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. |
650 | 2 | 4 | _aInformation Systems Applications (incl. Internet). |
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: _z9783319466712 |
830 | 0 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v9948 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-46672-9 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-LNC | ||
942 | _cEBK | ||
999 |
_c58825 _d58825 |