NDLI: v-support vector classification with uncertainty based on expert advices

Content Provider	IEEE Xplore Digital Library
Author	Liu Guangli Peng Bo
Copyright Year	2005
Description	Author affiliation: Coll. of Inf. & Electr. Eng., China Agric. Univ., Beijing, China (Liu Guangli; Peng Bo)
Abstract	Support vector techniques have been successfully applied to many real-world problems, but it is difficult to select the parameter C. The v-support vector classification (v-SVC) has the advantage of a parameter v on controlling the number of support vectors. However, it is required that every input must be exactly assigned to one of these two classes without any uncertainty. A new v-SVM technique is proposed which is able to deal with training data with uncertainty based on expert advices. Firstly, the meaning of the uncertainty is defined. Based on this meaning of uncertainty, the algorithm has been derived. This technique extends the application horizon of v-SVM greatly. As an application, the problem about early warning of grain production is solved by our algorithm.
Sponsorship	IEEE Comput. Intelligence Soc
Starting Page	451
Ending Page	453
File Size	464022
Page Count	3
File Format	PDF
ISBN	0780390172
DOI	10.1109/GRC.2005.1547332
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uncertainty Upper bound ν-support vector classification Training data Time of arrival estimation Production Educational institutions convex quadratic programming Quadratic programming uncertainty Kernel expert advices
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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