Artificial Neural Networks and Machine Learning - ICANN 2021 / Lecture Notes in Computer Science Bd.12894 (PDF)
30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part IV
(Sprache: Englisch)
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...
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Produktinformationen zu „Artificial Neural Networks and Machine Learning - ICANN 2021 / Lecture Notes in Computer Science Bd.12894 (PDF)“
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.
Bibliographische Angaben
- 2021, 1st ed. 2021, 703 Seiten, Englisch
- Herausgegeben: Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter
- Verlag: Springer International Publishing
- ISBN-10: 3030863808
- ISBN-13: 9783030863807
- Erscheinungsdatum: 10.09.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 75 MB
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Sprache:
Englisch
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