Artificial Neural Networks and Machine Learning - Icann 2019: Theoretical Neural Computation: 28th International Conference on Artificial Neural Netwo

Tetko, Igor V., Kůrkova, Věra, Karpov, Pavel

  • 出版商: Springer
  • 出版日期: 2019-09-06
  • 售價: $4,410
  • 貴賓價: 9.5$4,190
  • 語言: 英文
  • 頁數: 839
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030304868
  • ISBN-13: 9783030304867
  • 相關分類: Machine Learning 機器學習
  • 下單後立即進貨 (約1週~2週)

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商品描述

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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