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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Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Lecture Notes in Computer Science ; 13531 | Springer eBook CollectionVerlag: Cham : Springer Nature Switzerland, 2022Verlag: Cham : Imprint: Springer, 2022Auflage: 1st ed. 2022Beschreibung: 1 Online-Ressource(XXII, 813 p. 312 illus., 280 illus. in color.)ISBN:

9783031159343

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Andere physische Formen: 9783031159336 | 9783031159350 | Erscheint auch als: 9783031159336 Druck-Ausgabe | Erscheint auch als: 9783031159350 Druck-AusgabeDOI: DOI: 10.1007/978-3-031-15934-3Online-Ressourcen:

Zusammenfassung: 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.Zusammenfassung: 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.PPN: PPN: 1816516201Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-LNC

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