NDLI: Research on ECOC SVMs

Content Provider	IEEE Xplore Digital Library
Author	Zhigang Yan
Copyright Year	2010
Description	Author affiliation: China University of Mining and Technology, Key Laboratory for Land Environment and Disaster Monitoring of SBSM, Xuzhou, Jiangsu, China (Zhigang Yan)
Abstract	The generalization performance of ECOC SVMs was analyzed, as a result, the performance of ECOC SVMs is mainly determined by the SVM classifiers corresponding to its codewords, litttlely by its mathematical characteristics. The performance of each SVM is ordered by their separating margins and cross-validation error ratios. Three types of ECOC SVMs, whose performance are better, worse and common, are constructed by selecting different set of SVMs, the ECOC SVMs with a better performance might be constructed by the set of SVMs whose performances are better too, otherwise, its performance might be worse, which supports our viewpoint effectively and points out the direction for improving ECOC SVMs.
Starting Page	2838
Ending Page	2842
File Size	796363
Page Count	5
File Format	PDF
ISBN	9781424467129
e-ISBN	9781424467129
DOI	10.1109/WCICA.2010.5554718
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Learning Monitoring Informatics Pattern recognition Machine learning Generalization Performance SVM ECOC SVMs
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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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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