Artificial Neural Networks and Machine Learning – ICANN 2017 [[electronic resource] ] : 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part I / / edited by Alessandra Lintas, Stefano Rovetta, Paul F.M.J. Verschure, Alessandro E.P. Villa

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
• Edizione: 1st ed. 2017.
• Descrizione fisica: 1 online resource (XXXI, 469 p. 191 illus.)
• Disciplina: 006.32
• Soggetto topico: Artificial intelligence; Computers, Special purpose; Computer networks; Logic design; Operating systems (Computers); Computer vision; Artificial Intelligence; Special Purpose and Application-Based Systems; Computer Communication Networks; Logic Design; Operating Systems; Computer Vision
• Persona (resp. second.): LintasAlessandra; RovettaStefano; VerschurePaul F.M.J; VillaAlessandro E.P
• Nota di contenuto: From Perception to Action -- From Neurons to Networks -- Brain Imaging; Recurrent Neural Networks -- Neuromorphic Hardware -- Brain Topology and Dynamics -- Neural Networks Meet Natural and Environmental Sciences -- Convolutional Neural Networks -- Games and Strategy -- Representation and Classification -- Clustering -- Learning from Data Streams and Time Series -- Image Processing and Medical Applications -- Advances in Machine Learning.
• Sommario/riassunto: The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks, ICANN 2017, held in Alghero, Italy, in September 2017. The 128 full papers included in this volume were carefully reviewed and selected from 270 submissions. They were organized in topical sections named: From Perception to Action; From Neurons to Networks; Brain Imaging; Recurrent Neural Networks; Neuromorphic Hardware; Brain Topology and Dynamics; Neural Networks Meet Natural and Environmental Sciences; Convolutional Neural Networks; Games and Strategy; Representation and Classification; Clustering; Learning from Data Streams and Time Series; Image Processing and Medical Applications; Advances in Machine Learning. There are 63 short paper abstracts that are included in the back matter of the volume.
• Titolo autorizzato: Artificial Neural Networks and Machine Learning – ICANN 2017
• ISBN: 3-319-68600-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996465289003316
• Lo trovi qui: Univ. di Salerno
• Serie: Theoretical Computer Science and General Issues, . 2512-2029 ; ; 10613