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政大典藏 > College of Informatics > Department of Computer Science > Periodical Articles > Item 140.119/75891

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75891

Title:	Bounding probabilistic relationships in Bayesian networks using qualitative influences: methods and applications
Authors:	Liu, Chao-lin 劉昭麟 Wellman, Michael P.
Contributors:	資科系
Date:	2004
Issue Date:	2015-06-17 15:08:50 (UTC+8)
Abstract:	We present conditions under which one can bound the probabilistic relationships between random variables in a Bayesian network by exploiting known or induced qualitative relationships. Generic strengthening and weakening operations produce bounds on cumulative distributions, and the directions of these bounds are maintained through qualitative influences. We show how to incorporate these operations in a state-space abstraction method, so that bounds provably tighten as an approximate network is refined. We apply these techniques to qualitative tradeoff resolution demonstrating an ability to identify qualitative relationships among random variables without exhaustively using the probabilistic information encoded in the given network. In an application to path planning, we present an anytime algorithm with run-time computable error bounds.
Relation:	International Journal of Approximate Reasoning - IJAR , vol. 36, no. 1, pp. 31-73
Data Type:	article
DOI link:	http://dx.doi.org/10.1016/j.ijar.2003.06.002
DOI:	10.1016/j.ijar.2003.06.002
Appears in Collections:	[Department of Computer Science ] Periodical Articles

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