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政大機構典藏 > 資訊學院 > 資訊科學系 > 會議論文 > Item 140.119/39690

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/39690

Title:	Advances in applying stochastic-dominance relationships to bounding probability distributions in Bayesian networks
Authors:	劉昭麟 Liu, Chao-Lin
Contributors:	IASTED 國立政治大學資訊科學系
Keywords:	stochastic-dominance relationships;bounding probability distributions;Bayesian networks
Date:	2002-09
Issue Date:	2010-05-27 16:48:38 (UTC+8)
Abstract:	Bounds of probability distributions are useful for many reasoning tasks, including resolving the qualitative ambi- guities in qualitative probabilistic networks and search- ing the best path in stochastic transportation networks. This paper investigates a subclass of the state-space ab- straction methods that are designed to approximately evaluate Bayesian networks. Taking advantage of par- ticular stochastic-dominance relationships among ran- dom variables, these special methods aggregate states of random variables to obtain bounds of probability dis- tributions at much reduced computational costs, thereby achieving high responsiveness of the overall system. The existing methods demonstrate two drawbacks, however. The strict reliance on the particular stochastic- dominance relationships confines their applicability. Also, designed for general Bayesian networks, these methods might not achieve their best performance in spe- cial domains, such as fastest-path planning problems. The author elaborates on these problems, and offers ex- tensions to improve the existing approximation tech- niques.
Relation:	Proceedings of the IASTED International Conference on Artificial and Computational Intelligence 2002
Data Type:	conference
Appears in Collections:	[資訊科學系] 會議論文

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