Artificial Neural Networks and Machine Learning - Icann 2019: Theoretical Neural Computation: 28th International Conference on Artificial Neural Netwo
暫譯: 人工神經網絡與機器學習 - Icann 2019：理論神經計算：第28屆國際人工神經網絡會議

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

Artificial Neural Networks and Machine Learning - Icann 2019: Theoretical Neural Computation: 28th International Conference on Artificial Neural Netwo
  • 出版商: Springer
  • 出版日期: 2019-09-06
  • 售價: $5,240
  • 貴賓價: 9.5 折 $4,978
  • 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

    • 海外代購書籍(需單獨結帳)

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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.

商品描述(中文翻譯)

會議錄 LNCS 11727、11728、11729、11730 和 11731 構成了第 28 屆國際人工神經網路會議（ICANN 2019）的會議錄，該會議於 2019 年 9 月在德國慕尼黑舉行。這些會議錄中共包含 277 篇完整論文和 43 篇短文，這些論文是從 494 篇投稿中仔細審核和選出的。它們被組織成 5 卷，重點關注理論神經計算、深度學習、影像處理、文本與時間序列，以及研討會和特別會議。

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