Smooth Diagonal Weighted Newton Support Vector Machine
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Based on diagonal weighted support vector machine, a smooth model with Newton algorithm is proposed and is called SDWNSVM for short.
SDWNSVM introduces the entropy function to approximate the plus function of the slack in the diagonal weighted SVM and is thus different from traditional SSVM that treats a reformulation problem.
SDWNSVM utilizes the dual technique to rewrite the objection function by the connotative relation between the primal and dual program, which induces an exact smooth program and differs from traditional SSVM that uses Lagrangian multipliers to roughly substitute for the hyperplane weight.
SDWNSVM proves the equivalence between the obtained model and the original one and proposes Newton algorithm to figure out the optimal solution.
Numerical experiments on UCI data demonstrate that SDWNSVM has higher accuracies and less iteration than existing methods.
American Psychological Association (APA)
Liang, Jinjin& Wu, De. 2013. Smooth Diagonal Weighted Newton Support Vector Machine. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1009089
Modern Language Association (MLA)
Liang, Jinjin& Wu, De. Smooth Diagonal Weighted Newton Support Vector Machine. Mathematical Problems in Engineering No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1009089
American Medical Association (AMA)
Liang, Jinjin& Wu, De. Smooth Diagonal Weighted Newton Support Vector Machine. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1009089
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1009089