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An examination on the performance of MML causal induction

Dai, Honghua, Li, Gang and Zhuang, L. 2003, An examination on the performance of MML causal induction, in InTech'03 : Proceedings of the Fourth International Conference on Intelligent Technologies, Chiang Mai University, Institute for Science and Technology Research and Development, Chiang Mai, Thailand, pp. 651-657.

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Title An examination on the performance of MML causal induction
Author(s) Dai, Honghua
Li, Gang
Zhuang, L.
Conference name International Conference on Intelligent Technologies (4th : 2003, Thailand)
Conference location Chiang Mai Plaza, Thailand
Conference dates 17-19 December 2003
Title of proceedings InTech'03 : Proceedings of the Fourth International Conference on Intelligent Technologies
Editor(s) Dhompongsa, Sompong
Theera-Umpon, Nipon
Auephanwiriyakul, Sananee
Publication date 2003
Conference series International Conference on Intelligent Technologies
Start page 651
End page 657
Total pages 7
Publisher Chiang Mai University, Institute for Science and Technology Research and Development
Place of publication Chiang Mai, Thailand
Keyword(s) causal discovery
causal modelling
inductive inference
machine learning
Bayesian networks
data mining
Summary This 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.
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ISBN 9746581511
9789746581516
Language eng
Field of Research 080105 Expert Systems
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2003, InTech
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005209

Document type: Conference Paper
Collections: School of Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.