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Artificial Neural Networks and Machine Learning - ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part IV. 1st ed. 2021
・ISBN 978-3-030-86379-1 paper EUR 99.99
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| 著者・編者 | Farkas, Igor / Masulli, Paolo / Otte, Sebastian / Wermter, Stefan (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Computer Science) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2021 |
| ページ数 | 703 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A01-82337＞ |
解説
The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes.
In this volume, the papers focus on topics such as model compression, multi-task and multi-label learning, neural network theory, normalization and regularization methods, person re-identification, recurrent neural networks, and reinforcement learning.
*The conference was held online 2021 due to the COVID-19 pandemic.