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An examination on the performance of MML causal induction
conference contribution
posted on 2003-01-01, 00:00 authored by Honghua Dai, Gang LiGang Li, Ling ZhuangThis paper presents an examination report on the performance of the improved MML based causal model discovery algorithm. In this paper, We firstly describe our improvement to the causal discovery algorithm which introduces a new encoding scheme for measuring the cost of describing the causal structure. Stiring function is also applied to further simplify the computational complexity and thus works more efficiently. It is followed by a detailed examination report on the performance of our improved discovery algorithm. The experimental results of the current version of the discovery system show that: (l) the current version is capable of discovering what discovered by previous system; (2) current system is capable of discovering more complicated causal networks with large number of variables; (3) the new version works more efficiently compared with the previous version in terms of time complexity.
History
Title of proceedings
InTech'03 : Proceedings of the Fourth International Conference on Intelligent TechnologiesEvent
International Conference on Intelligent Technologies (4th : 2003, Thailand)Pagination
651 - 657Publisher
Chiang Mai University, Institute for Science and Technology Research and DevelopmentLocation
Chiang Mai Plaza, ThailandPlace of publication
Chiang Mai, ThailandStart date
2003-12-17End date
2003-12-19ISBN-13
9789746581516ISBN-10
9746581511Language
engNotes
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E1 Full written paper - refereedCopyright notice
2003, InTechEditor/Contributor(s)
S Dhompongsa, N Theera-Umpon, S AuephanwiriyakulUsage metrics
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