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Artificial Neural Networks and Machine Learning – ICANN 2022 : 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part III / / edited by Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin



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Titolo: Artificial Neural Networks and Machine Learning – ICANN 2022 : 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part III / / edited by Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022
Edizione: 1st ed. 2022.
Descrizione fisica: 1 online resource (835 pages)
Disciplina: 006.3
006.32
Soggetto topico: Artificial intelligence
Application software
Image processing - Digital techniques
Computer vision
Computer engineering
Computer networks
Artificial Intelligence
Computer and Information Systems Applications
Computer Imaging, Vision, Pattern Recognition and Graphics
Computer Engineering and Networks
Persona (resp. second.): PimenidisElias
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Deep Learning -- , Neural Network Theory -- Relational Learning, Reinforcement Learning -- Natural language processing, Generative Models -- Graphical Models, Recommender Systems -- Image Processing, Recurrent Networks -- Evolutionary Neural Networks -- Unsupervised Neural Networks -- Neural Network Models.
Sommario/riassunto: The 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks, ICANN 2022, held in Bristol, UK, in September 2022. The total of 255 full papers presented in these proceedings was carefully reviewed and selected from 561 submissions. ICANN 2022 is a dual-track conference featuring tracks in brain inspired computing and machine learning and artificial neural networks, with strong cross-disciplinary interactions and applications.
Titolo autorizzato: Artificial neural networks and machine learning -- ICANN 2022  Visualizza cluster
ISBN: 3-031-15934-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910592992203321
Lo trovi qui: Univ. Federico II
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Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 13531