Artificial Neural Networks and Machine Learning ICANN 2021 1

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Artificial Neural Networks and Machine Learning ICANN 2021

Igor Farka • Paolo Masulli • Sebastian Otte • Stefan Wermter

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703 sidor
2021

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.

Författare: Igor Farka, Paolo Masulli, Sebastian Otte, Stefan Wermter
Format: Pocket/Paperback
ISBN: 9783030863791
Språk: Engelska
Antal sidor: 703
Utgivningsdatum: 2021-09-11
Förlag: Springer Nature Switzerland AG