Artificial Neural Networks and Machine Learning - Icann 2019; Deep Learning : 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-20, 2019, Proceedings. Este artículo no está disponible.
Idioma: inglés
Editorial: Springer, 2019
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- Nuevo
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N° de ref. del artículo 37762605-n
- Título
- Artificial Neural Networks and Machine Learning - Icann 2019; Deep Learning : 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-20, 2019, Proceedings
- Autor
- Tetko, Igor V. (EDT); Kurková, Vera (EDT); Karpov, Pavel (EDT); Theis, Fabian (EDT)
- Editorial
- Springer
- Año de publicación
- 2019
- Estado
- New
- Encuadernación
- Encuadernación de tapa blanda
- Idioma
- inglés
- ISBN 10
- 3030304833
- ISBN 13
- 9783030304836
The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.
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Reseña del editor
The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019.
The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.
The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.
“Acerca de” puede pertenecer a otra edición de este título.
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