Articoli correlati a Artificial Neural Networks and Machine Learning - Icann...

Artificial Neural Networks and Machine Learning - Icann 2022: 31st International Conference on Artificial Neural Networks, Bristol, Uk, September 6-9, 2022, Proceedings: 13530 - Brossura

 
9783031159305: Artificial Neural Networks and Machine Learning - Icann 2022: 31st International Conference on Artificial Neural Networks, Bristol, Uk, September 6-9, 2022, Proceedings: 13530
Brossura
ISBN 10: 3031159306 ISBN 13: 9783031159305
Casa editrice: Springer-Nature New York Inc, 2022

Sinossi

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. Chapters “Learning Flexible Translation Between Robot Actions and Language Descriptions”, “Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

Chapters “Learning Flexible Translation Between Robot Actions and Language Descriptions”, “Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer-Nature New York Inc
Data di pubblicazione
2022
Lingua
Inglese
ISBN 10 
3031159306
ISBN 13 
9783031159305
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
840
Redattore
Pimenidis Elias, Angelov Plamen, Jayne Chrisina, Papaleonidas Antonios, Aydin Mehmet
Contatto del produttore
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

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