UID:
almahu_9949372074002882
Umfang:
XXII, 761 p. 242 illus., 219 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2022.
ISBN:
9783031159190
Serie:
Lecture Notes in Computer Science, 13529
Inhalt:
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.
Anmerkung:
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.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031159183
Weitere Ausg.:
Printed edition: ISBN 9783031159206
Sprache:
Englisch
DOI:
10.1007/978-3-031-15919-0
URL:
https://doi.org/10.1007/978-3-031-15919-0
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