NDLI: Fast regularized kernel function approximation

Content Provider	IEEE Xplore Digital Library
Author	Santanu Ghorai Mukherjee, A. Dutta, P.K.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. Eng., IIT Kharagpur, Kharagpur (Santanu Ghorai; Mukherjee, A.; Dutta, P.K.)
Abstract	We propose a simple formulation for regularized kernel function approximation. The regression function is obtained by minimizing an unconstrained quadratic function. Further reduced kernel technique is also employed in its formulation which enables it to handle large database. The solution of this objective function is obtained by solving a system of linear equations and thus no need for any quadratic programming problem solver. Its simple MATLAB implementation is also very fast. Computational results on artificial and real world data sets and comparisons are given to demonstrate the fast training time and low prediction error of the proposed formulation.
Sponsorship	IEEE Region 10
Starting Page	1
Ending Page	5
File Size	238105
Page Count	5
File Format	PDF
ISBN	9781424424085
DOI	10.1109/TENCON.2008.4766523
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-19
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kernel Function approximation Support vector machines Training data Support vector machine classification Quadratic programming Constraint optimization Databases Testing Regression analysis support vector regression function approximation kernel method reduced kernel regression analysis
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	Mr. Siddhartha Mukherjee siddhartha@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	ndl-support@iitkgp.ac.in
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