政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/75885

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 113648/144635 (79%)
Visitors : 51578050 Online Users : 841

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大典藏 > College of Informatics > Department of Computer Science > Periodical Articles > Item 140.119/75885

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75885

Title:	On state-space abstraction for anytime evaluation of Bayesian networks
Authors:	Liu, Chao-lin;Wellman, Michael P. 劉昭麟
Contributors:	資科系
Date:	1996
Issue Date:	2015-06-17 15:07:54 (UTC+8)
Abstract:	Despite the increasing popularity of Bayesian networks for representing and reasoning about uncertain situations, the complexity of inference in this formalism remains a significant concern. A viable approach to relieving the problem is trading off accuracy for computational efficiency. To this end, varying the granularity of state space of state variables appears to be a feasible strategy for controlling the evaluation process. We consider an anytime procedure for approximate evaluation of Bayesian networks based on this idea. On application to some simple networks, the procedure exhibits a smooth improvement in approximation quality as computation time increases. With the aim of developing principled control techniques, we also conduct a theoretical analysis of the quality of approximation. Our main result demonstrates that the error induced by state-space abstraction deceases with the distance from the abstracted nodes, where "distance" is defined in terms of d-separation. While the empirical results suggest that incremental state-space abstraction offers a viable performance profile, the theoretical results represent a starting point for the deliberation scheduling of our anytime approximation method.
Relation:	Intelligence/sigart Bulletin - SIGART , vol. 7, no. 2, pp. 50-57
Data Type:	article
DOI link:	http://dx.doi.org/10.1145/242587.242601
DOI:	10.1145/242587.242601
Appears in Collections:	[Department of Computer Science ] Periodical Articles

Files in This Item:

File	Description	Size	Format
p50-liu.pdf		818Kb	Adobe PDF2	741	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...