Openly accessible

Ensemble parameter estimation for graphical models

Tu, Yiqing, Li, Gang and Dai, Honghua 2003, Ensemble parameter estimation for graphical models, in InTech'03 : Proceedings of the Fourth International Conference on Intelligent Technologies 2003, Chiang Mai University, Institute for Science and Technology Research and Development, Chiang Mai, Thailand, pp. 1-11.

Attached Files
Name Description MIMEType Size Downloads
dai-ensembleparameter-2003.pdf Published version application/pdf 171.22KB 19

Title Ensemble parameter estimation for graphical models
Author(s) Tu, Yiqing
Li, Gang
Dai, Honghua
Conference name International Conference on Intelligent Technologies (4th : 2003, Thailand)
Conference location Chiang Mai, Thailand
Conference dates 17-19 December 2003
Title of proceedings InTech'03 : Proceedings of the Fourth International Conference on Intelligent Technologies 2003
Editor(s) Dhompongsa, Sompong
Publication date 2003
Conference series International Conference on Intelligent Technologies
Start page 1
End page 11
Total pages 11
Publisher Chiang Mai University, Institute for Science and Technology Research and Development
Place of publication Chiang Mai, Thailand
Summary Parameter Estimation is one of the key issues involved in the discovery of graphical models from data. Current state of the art methods have demonstrated their abilities in different kind of graphical models. In this paper, we introduce ensemble learning into the process of parameter estimation, and examine ensemble parameter estimation methods for different kind of graphical models under complete data set and incomplete data set. We provide experimental results which show that ensemble method can achieve an improved result over the base parameter estimation method in terms of accuracy. In addition, the method is amenable to parallel or distributed processing, which is an important characteristic for data mining in large data sets.
Notes
Every reasonable effort has been made to ensure that permission has been obtained for items included in Deakin Research Online. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au

ISBN 9746581511
9789746581516
Language eng
Field of Research 080105 Expert Systems
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005212

Document type: Conference Paper
Collections: School of Information Technology
Open Access Collection
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

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.

Versions
Version Filter Type
Access Statistics: 416 Abstract Views, 21 File Downloads  -  Detailed Statistics
Created: Mon, 07 Jul 2008, 09:46:50 EST

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.