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Generalization Performance of Regularized Ranking with Multiscale Kernels
Zhou Y.1; Chen H.2; Lan R.1; Pan Z.2
2016-05-01
Source PublicationIEEE Transactions on Neural Networks and Learning Systems
ISSN21622388 2162237X
Volume27Issue:5Pages:993-1002
Abstract

The regularized kernel method for the ranking problem has attracted increasing attentions in machine learning. The previous regularized ranking algorithms are usually based on reproducing kernel Hilbert spaces with a single kernel. In this paper, we go beyond this framework by investigating the generalization performance of the regularized ranking with multiscale kernels. A novel ranking algorithm with multiscale kernels is proposed and its representer theorem is proved. We establish the upper bound of the generalization error in terms of the complexity of hypothesis spaces. It shows that the multiscale ranking algorithm can achieve satisfactory learning rates under mild conditions. Experiments demonstrate the effectiveness of the proposed method for drug discovery and recommendation tasks.

KeywordDrug Discovery Generalization Performance Multiscale Kernel Ranking Recommendation Tasks Reproducing Kernel Hilbert Space (Rkhs)
DOI10.1109/TNNLS.2015.2434887
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000375113700007
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Cited Times [WOS]:3   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Universidade de Macau
2.Huazhong Agricultural University
Recommended Citation
GB/T 7714
Zhou Y.,Chen H.,Lan R.,et al. Generalization Performance of Regularized Ranking with Multiscale Kernels[J]. IEEE Transactions on Neural Networks and Learning Systems,2016,27(5):993-1002.
APA Zhou Y.,Chen H.,Lan R.,&Pan Z..(2016).Generalization Performance of Regularized Ranking with Multiscale Kernels.IEEE Transactions on Neural Networks and Learning Systems,27(5),993-1002.
MLA Zhou Y.,et al."Generalization Performance of Regularized Ranking with Multiscale Kernels".IEEE Transactions on Neural Networks and Learning Systems 27.5(2016):993-1002.
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