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政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 > Item 140.119/75890

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75890

Title:	Evaluation of Bayesian networks with flexible state-space abstraction methods
Authors:	Liu, Chao-lin;Wellman, Michael P. 劉昭麟
Contributors:	資科系
Date:	2002
Issue Date:	2015-06-17 15:08:35 (UTC+8)
Abstract:	We investigate state-space abstraction methods for computing approximate proba- bilities with Bayesian networks. These methods approximate Bayesian networks by aggregating the states of variables. We implement an iterative approximation procedure based on this idea, and the procedure demonstrates the desirable anytime property in experiments. Further theoretical analysis reveals special properties of the approxima- tions, and we exploit these properties to design heuristics for improving performance profiles of the iterative procedure. 2002 Elsevier Science Inc. All rights reserved.
Relation:	International Journal of Approximate Reasoning - IJAR , vol. 30, no. 1, pp. 1-39
Data Type:	article
DOI 連結:	http://dx.doi.org/10.1016/S0888-613X(01)00067-6
DOI:	10.1016/S0888-613X(01)00067-6
Appears in Collections:	[資訊科學系] 期刊論文

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