UID:
almahu_9949372074402882
Format:
XXII, 813 p. 312 illus., 280 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9783031159343
Series Statement:
Lecture Notes in Computer Science, 13531
Content:
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.
Note:
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
Additional Edition:
Printed edition: ISBN 9783031159336
Additional Edition:
Printed edition: ISBN 9783031159350
Language:
English
DOI:
10.1007/978-3-031-15934-3
URL:
https://doi.org/10.1007/978-3-031-15934-3
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