04512nam 22007575 450 99646540130331620230329175138.03-319-46687-910.1007/978-3-319-46687-3(CKB)3710000000872960(DE-He213)978-3-319-46687-3(MiAaPQ)EBC6282911(MiAaPQ)EBC5576489(Au-PeEL)EBL5576489(OCoLC)960195458(PPN)195511352(EXLCZ)99371000000087296020160928d2016 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierNeural Information Processing[electronic resource] 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16–21, 2016, Proceedings, Part I /edited by Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (XIX, 639 p. 250 illus.) Theoretical Computer Science and General Issues,2512-2029 ;99473-319-46686-0 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.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.Theoretical Computer Science and General Issues,2512-2029 ;9947Pattern recognition systemsComputer visionArtificial intelligenceComputer scienceData miningAutomated Pattern RecognitionComputer VisionArtificial IntelligenceTheory of ComputationData Mining and Knowledge DiscoveryPattern recognition systems.Computer vision.Artificial intelligence.Computer science.Data mining.Automated Pattern Recognition.Computer Vision.Artificial Intelligence.Theory of Computation.Data Mining and Knowledge Discovery.006.32Hirose Akiraedthttp://id.loc.gov/vocabulary/relators/edtOzawa Seiichiedthttp://id.loc.gov/vocabulary/relators/edtDoya Kenjiedthttp://id.loc.gov/vocabulary/relators/edtIkeda Kazushiedthttp://id.loc.gov/vocabulary/relators/edtLee Minhoedthttp://id.loc.gov/vocabulary/relators/edtLiu Derongedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996465401303316Neural Information Processing2554499UNISA01253nam2 22002893i 450 RMS014582120250314062747.020220808d1993 ||||0itac50 baitaitz01i xxxe z01n˜6.: œAreale/reticolareuna lettura integrata dell'assetto industrialea cura di Gerardo Massimicontributi di Piergiorgio Landini et < al...>RomaArgos1993135 p.ill.23x23 cmIn testa al front. : Regione Abruzzo. Universita' "Gabriele D'Annunzio". Facolta' di Architettura001UAN00017672001 ˜Il œcorridoio adriaticoprogramma triennale per il Mezzogiorno (Legge 64/1986)6338.4INDUSTRIE SECONDARIE E SERVIZI23Landini, PiergiorgioCFIV010080Massimi, GerardoCFIV010081ITIT-NA007920220808IT-BN0095 RMS0145821Biblioteca Centralizzata di Ateneov. 61 v. 01POZZO LIB.ECON MON 7617 0101 0700121295 B 1 v. (Precedente collocazione 12 EC 129)N 2022080820220808 01Areale2903749UNISANNIO