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Artificial Neural Networks and Machine Learning – ICANN 2016 : 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II / / edited by Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero



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Titolo: Artificial Neural Networks and Machine Learning – ICANN 2016 : 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II / / edited by Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Edizione: 1st ed. 2016.
Descrizione fisica: 1 online resource (XXIX, 557 p. 173 illus.)
Disciplina: 006.32
Soggetto topico: Artificial intelligence
Computer science
Algorithms
Pattern recognition systems
Application software
Computer vision
Artificial Intelligence
Theory of Computation
Automated Pattern Recognition
Computer and Information Systems Applications
Computer Vision
Persona (resp. second.): VillaAlessandro E.P
MasulliPaolo
Pons RiveroAntonio Javier
Note generali: Includes index.
Nota di contenuto: Deep Learning -- Classification and Forecasting -- Recognition and Navigation.
Sommario/riassunto: The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions. They were organized in topical sections named: from neurons to networks; networks and dynamics; higher nervous functions; neuronal hardware; learning foundations; deep learning; classifications and forecasting; and recognition and navigation. There are 47 short paper abstracts that are included in the back matter of the volume. .
Titolo autorizzato: Artificial Neural Networks and Machine Learning – ICANN 2016  Visualizza cluster
ISBN: 3-319-44781-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910483741703321
Lo trovi qui: Univ. Federico II
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Serie: Theoretical Computer Science and General Issues, . 2512-2029 ; ; 9887