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pimenidis elias (curatore); angelov plamen (curatore); jayne chrisina (curatore); papaleonidas antonios (curatore); aydin mehmet (curatore) - artificial neural networks and machine learning – icann 2022

Artificial Neural Networks and Machine Learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part I

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 09/2022
Edizione: 1st ed. 2022





Trama

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.

Chapter “Sim-to-Real Neural Learning with Domain Randomisation for Humanoid Robot Grasping ” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.





Sommario

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.










Altre Informazioni

ISBN:

9783031159183

Condizione: Nuovo
Collana: Lecture Notes in Computer Science
Dimensioni: 235 x 155 mm
Formato: Brossura
Illustration Notes:XXII, 761 p. 23 illus.
Pagine Arabe: 761
Pagine Romane: xxii


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