NDLI: Tangent Circular Arc Smooth SVM (TCA-SSVM) Research

Content Provider	IEEE Xplore Digital Library
Author	Fan, Yan-Feng Zhang, De-Xian He, Hua-Can
Copyright Year	2008
Abstract	Spatial hypersurface plays a very important role in the classification problem. In SVM, classification hypersurface is emphasized because of the direct induction of the support vectors, so the hypersurface reflecting the relation between categorical attribute and condition attributes acquired by SVM promotes the classification effect. In traditional SVM solution algorithms, objective function is a strictly convex unconstrained optimization problem, but is not differentiable due to x+, which precludes the most used optimization algorithms. This paper presents a new TCA-Smooth technology which used a segment of circular arc tangent to the given plus function x+ to approximate the original un-differentiable model, thus the traditional SVM model is converted into a differentiable model. The proposed approach is experimentally evaluated in three datasets that are benchmarks for data mining applications and in a real-world dataset, leading to interesting results.
Starting Page	646
Ending Page	651
File Size	446764
Page Count	6
File Format	PDF
ISBN	9780769531199
DOI	10.1109/CISP.2008.112
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape measurement SVM Data mining Support vector machines Computer science Information science TCA-Smooth technology Neural networks hypersurface Support vector machine classification Signal processing algorithms Signal processing un-differentiable Polynomials
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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