PMSVM: An Optimized Support Vector Machine Classification Algorithm Based on PCA and Multilevel Grid Search Methods
Joint Authors
Yao, Yukai
Cui, Hongmei
Liu, Yang
Li, Longjie
Zhang, Long
Chen, Xiaoyun
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-22
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
We propose an optimized Support Vector Machine classifier, named PMSVM, in which System Normalization, PCA, and Multilevel Grid Search methods are comprehensively considered for data preprocessing and parameters optimization, respectively.
The main goals of this study are to improve the classification efficiency and accuracy of SVM.
Sensitivity, Specificity, Precision, and ROC curve, and so forth, are adopted to appraise the performances of PMSVM.
Experimental results show that PMSVM has relatively better accuracy and remarkable higher efficiency compared with traditional SVM algorithms.
American Psychological Association (APA)
Yao, Yukai& Cui, Hongmei& Liu, Yang& Li, Longjie& Zhang, Long& Chen, Xiaoyun. 2015. PMSVM: An Optimized Support Vector Machine Classification Algorithm Based on PCA and Multilevel Grid Search Methods. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1073514
Modern Language Association (MLA)
Yao, Yukai…[et al.]. PMSVM: An Optimized Support Vector Machine Classification Algorithm Based on PCA and Multilevel Grid Search Methods. Mathematical Problems in Engineering No. 2015 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1073514
American Medical Association (AMA)
Yao, Yukai& Cui, Hongmei& Liu, Yang& Li, Longjie& Zhang, Long& Chen, Xiaoyun. PMSVM: An Optimized Support Vector Machine Classification Algorithm Based on PCA and Multilevel Grid Search Methods. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1073514
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073514