Neural Information Processing: 23rd International Conference, Iconip 2016, Kyoto, Japan, October 16 21, 2016, Proceedings, Part II von Akira, Hirose (Editor)/ Seiichi, Ozawa (Editor)/ Kenji, Doya (Editor)/ Kazushi, Ikeda (Editor)/ Minho, Lee (Editor): Brand New Paperback (2016)

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760 pages. 9.25x6.10x1.72 inches. In Stock.

Bestandsnummer des Verk�ufers x-3319466712

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Bibliografische Details

Titel: Neural Information Processing: 23rd International Conference, Iconip 2016, Kyoto, Japan, October 16 21, 2016, Proceedings, Part II
Verlag: Springer-Verlag New York Inc
Erscheinungsjahr: 2016
Sprache: Englisch
ISBN-10: 3319466712
ISBN-13: 9783319466712
Einband: Paperback
Zustand: Brand New

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Inhaltsangabe

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.

Rese�a del editor

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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