Advanced Methodologies for Bayesian Networks: Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings (Lecture Notes in Computer Science)
暫譯: 貝葉斯網絡的進階方法論:第二屆國際研討會 AMBN 2015,2015年11月16-18日,日本橫濱。會議論文集(計算機科學講義)
- 出版商: Springer
- 出版日期: 2016-02-25
- 售價: $2,420
- 貴賓價: 9.5 折 $2,299
- 語言: 英文
- 頁數: 265
- 裝訂: Paperback
- ISBN: 3319283782
- ISBN-13: 9783319283784
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相關分類:
機率統計學 Probability-and-statistics、Computer-Science
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商品描述
This volume constitutes the refereed proceedings of the Second International Workshop on Advanced Methodologies for Bayesian Networks, AMBN 2015, held in Yokohama, Japan, in November 2015.
The 18 revised full papers and 6 invited abstracts presented were carefully reviewed and selected from numerous submissions. In the International Workshop on Advanced Methodologies for Bayesian Networks (AMBN), the researchers explore methodologies for enhancing the effectiveness of graphical models including modeling, reasoning, model selection, logic-probability relations, and causality. The exploration of methodologies is complemented discussions of practical considerations for applying graphical models in real world settings, covering concerns like scalability, incremental learning, parallelization, and so on.
商品描述(中文翻譯)
本卷為2015年11月在日本橫濱舉行的第二屆貝葉斯網絡先進方法國際研討會(AMBN 2015)的經過審稿的會議論文集。
本次會議共收錄了18篇修訂的完整論文和6篇邀請摘要,這些論文經過仔細審查和選擇,來自眾多投稿。在貝葉斯網絡先進方法國際研討會(AMBN)中,研究人員探討了增強圖形模型有效性的各種方法,包括建模、推理、模型選擇、邏輯-概率關係和因果關係。對於方法論的探討還包括了在現實世界中應用圖形模型的實際考量,涵蓋了可擴展性、增量學習、平行化等問題。