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A Bayesian Classifier Learning Algorithm Based on Optimization Model
Joint Authors
Zhu, Mingmin
Yang, Youlong
Liu, San-Yang
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-06
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Naive Bayes classifier is a simple and effective classification method, but its attribute independence assumption makes it unable to express the dependence among attributes and affects its classification performance.
In this paper, we summarize the existing improved algorithms and propose a Bayesian classifier learning algorithm based on optimization model (BC-OM).
BC-OM uses the chi-squared statistic to estimate the dependence coefficients among attributes, with which it constructs the objective function as an overall measure of the dependence for a classifier structure.
Therefore, a problem of searching for an optimal classifier can be turned into finding the maximum value of the objective function in feasible fields.
In addition, we have proved the existence and uniqueness of the numerical solution.
BC-OM offers a new opinion for the research of extended Bayesian classifier.
Theoretical and experimental results show that the new algorithm is correct and effective.
American Psychological Association (APA)
Liu, San-Yang& Zhu, Mingmin& Yang, Youlong. 2013. A Bayesian Classifier Learning Algorithm Based on Optimization Model. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1032512
Modern Language Association (MLA)
Liu, San-Yang…[et al.]. A Bayesian Classifier Learning Algorithm Based on Optimization Model. Mathematical Problems in Engineering No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1032512
American Medical Association (AMA)
Liu, San-Yang& Zhu, Mingmin& Yang, Youlong. A Bayesian Classifier Learning Algorithm Based on Optimization Model. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1032512
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032512