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Bayesian Prediction Model Based on Attribute Weighting and Kernel Density Estimations
Joint Authors
Xiang, Zhong-Liang
Yu, Xiang-Ru
Kang, Dae-Ki
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-04
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Although naïve Bayes learner has been proven to show reasonable performance in machine learning, it often suffers from a few problems with handling real world data.
First problem is conditional independence; the second problem is the usage of frequency estimator.
Therefore, we have proposed methods to solve these two problems revolving around naïve Bayes algorithms.
By using an attribute weighting method, we have been able to handle conditional independence assumption issue, whereas, for the case of the frequency estimators, we have found a way to weaken the negative effects through our proposed smooth kernel method.
In this paper, we have proposed a compact Bayes model, in which a smooth kernel augments weights on likelihood estimation.
We have also chosen an attribute weighting method which employs mutual information metric to cooperate with the framework.
Experiments have been conducted on UCI benchmark datasets and the accuracy of our proposed learner has been compared with that of standard naïve Bayes.
The experimental results have demonstrated the effectiveness and efficiency of our proposed learning algorithm.
American Psychological Association (APA)
Xiang, Zhong-Liang& Yu, Xiang-Ru& Kang, Dae-Ki. 2015. Bayesian Prediction Model Based on Attribute Weighting and Kernel Density Estimations. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1073108
Modern Language Association (MLA)
Xiang, Zhong-Liang…[et al.]. Bayesian Prediction Model Based on Attribute Weighting and Kernel Density Estimations. Mathematical Problems in Engineering No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1073108
American Medical Association (AMA)
Xiang, Zhong-Liang& Yu, Xiang-Ru& Kang, Dae-Ki. Bayesian Prediction Model Based on Attribute Weighting and Kernel Density Estimations. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1073108
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073108