UM
Local learning estimates by integral operators
Li H.1; Chen N.1; Tang Y.Y.2
2010-09-01
Source PublicationInternational Journal of Wavelets, Multiresolution and Information Processing
ISSN02196913
Volume8Issue:5Pages:695-712
AbstractIn this paper, we consider the problem of local risk minimization on the basis of empirical data, which is a generalization of the problem of global risk minimization. A new local risk regularization scheme is proposed. The error estimate for the proposed algorithm is obtained by using probabilistic estimates for integral operators. Experiments are presented to illustrate the general theory. Simulation results on several artificial real datasets show that the local risk regularization algorithm has better performance. © 2010 World Scientific Publishing Company.
Keywordintegral operator Local risk regularization reproducing kernel Hilbert space sample error
DOI10.1142/S0219691310003729
URLView the original
Language英語
Fulltext Access
Citation statistics
Cited Times [WOS]:7   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Huazhong University of Science and Technology
2.Chongqing University
Recommended Citation
GB/T 7714
Li H.,Chen N.,Tang Y.Y.. Local learning estimates by integral operators[J]. International Journal of Wavelets, Multiresolution and Information Processing,2010,8(5):695-712.
APA Li H.,Chen N.,&Tang Y.Y..(2010).Local learning estimates by integral operators.International Journal of Wavelets, Multiresolution and Information Processing,8(5),695-712.
MLA Li H.,et al."Local learning estimates by integral operators".International Journal of Wavelets, Multiresolution and Information Processing 8.5(2010):695-712.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li H.]'s Articles
[Chen N.]'s Articles
[Tang Y.Y.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li H.]'s Articles
[Chen N.]'s Articles
[Tang Y.Y.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li H.]'s Articles
[Chen N.]'s Articles
[Tang Y.Y.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.