Weighted mahalanobis distance kernels for support vector machines

The support vector machine (SVM) has been demonstrated to be a very effective classifier in many applications, but its performance is still limited as the data distribution information is underutilized in determining the decision hyperplane. Most of the existing kernels employed in nonlinear SVMs me...

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Bibliographic Details
Published in:IEEE transactions on neural networks, Vol. 18, No. 5 (2007), p. 1453-62
Main Author: Wang, Defeng
Other Involved Persons: Yeung, Daniel S ; Tsang, Eric C C
Format: Article
Language:English
ISSN:1045-9227
Item Description:Date Completed 19.02.2008
Date Revised 20.10.2016
published: Print
Citation Status MEDLINE
Copyright: From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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