Artificial Neural Networks and Machine Learning – ICANN 2022
Author | : Elias Pimenidis |
Publisher | : Springer Nature |
Total Pages | : 836 |
Release | : 2022-09-06 |
ISBN-10 | : 9783031159312 |
ISBN-13 | : 3031159314 |
Rating | : 4/5 (314 Downloads) |
Download or read book Artificial Neural Networks and Machine Learning – ICANN 2022 written by Elias Pimenidis and published by Springer Nature. This book was released on 2022-09-06 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.