DocumentCode
2688323
Title
An algorithm of Bayesian Networks parameters learning based on confidence interval
Author
Tilong Wang ; Guo, Lihong ; Li, Yan
Author_Institution
Changchun Inst. of Opt., Fine Mech. & Phys., Chinese Acad. of Sci., Changchun, China
Volume
1
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
233
Lastpage
235
Abstract
This paper focuses on an interval parameter estimation of Bayesian Networks (BNs). Contrast to the point estimation used in most parameter learning algorithms, interval estimation algorithm (IEA) estimates the output nodes parameter of BNs with an interval estimation based on confidence level, it can raise BNs inference accuracy slightly as the prior knowledge is absence.
Keywords
belief networks; learning (artificial intelligence); parameter estimation; Bayesian network parameter learning; confidence interval; interval parameter estimation; Algorithm design and analysis; Bayesian methods; Convergence; Bayesian networks; confidence interval estimation; parameter learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4244-7957-3
Type
conf
DOI
10.1109/CMCE.2010.5610479
Filename
5610479
Link To Document