Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part II
Author:   Igor V. Tetko ,  Věra Kůrková ,  Pavel Karpov ,  Fabian Theis
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   11728
ISBN:  

9783030304836


Pages:   807
Publication Date:   05 September 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part II


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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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Author:   Igor V. Tetko ,  Věra Kůrková ,  Pavel Karpov ,  Fabian Theis
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   11728
Weight:   1.264kg
ISBN:  

9783030304836


ISBN 10:   3030304833
Pages:   807
Publication Date:   05 September 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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