Neural Information Processing, 1st ed. 2016 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part III Theoretical Computer Science and General Issues Series
Coordonnateurs : Hirose Akira, Ozawa Seiichi, Doya Kenji, Ikeda Kazushi, Lee Minho, Liu Derong
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.
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.
Includes supplementary material: sn.pub/extras
Date de parution : 09-2016
Ouvrage de 651 p.
15.5x23.5 cm
Thèmes de Neural Information Processing :
Mots-clés :
embedded systems; genetic algorithms; neural networks; pattern recognition; swarm intelligence; big data; biometric authentication; brain-computer interface; cellular neural network; cloud computing; computational intelligence; data mining; natural language processing; particle swarm optimization; recommender system; self-organizing maps; social networks