NDLI: Implementing reliable learning through Reliable Support Vector Machines

Content Provider	IEEE Xplore Digital Library
Author	Ferrari, E. Muselli, M.
Copyright Year	2011
Description	Author affiliation: Institute of Electronics, Computer and Telecommunication Engineering, Italian National Research Council., Via De Marini 6. 16149 Genoa, Italy (Ferrari, E.; Muselli, M.)
Abstract	Starting from the theoretical framework of reliable learning, a new classification algorithm capable of using prior information on the reliability of a training set has been developed. It consists in a straightforward modification of the standard technique adopted in the conventional Support Vector Machine (SVM) approach: the knowledge about reliability, encoded by adding a binary label to each example of the training set (asserting if the classification is reliable or not), is employed to properly modify the constrained optimization problem for the generalized optimal hyperplane. Hence, the name Reliable Support Vector Machines (RSVM) is adopted for models built according to the proposed algorithm. Specific tests have been carried out to verify how RSVM performs in comparison with standard SVM, showing a significant improvement in classification accuracy.
Starting Page	100
Ending Page	106
File Size	190091
Page Count	7
File Format	PDF
ISBN	9781424499816
e-ISBN	9781424499823
DOI	10.1109/FOCI.2011.5949475
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-11
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Training Reliability theory Minimization Kernel Optimization
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
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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