Efficient nearest neighbors methods for support vector machines in high dimensional feature spaces-Reference-Cited by-同舟云学术

Efficient nearest neighbors methods for support vector machines in high dimensional feature spaces

Published:2020-07-13 Issue:2 Volume:15 Page:391-404
ISSN:1862-4472
Container-title:Optimization Letters
language:en
Short-container-title:Optim Lett

Author:

Montañés Diana C.,Quiroz Adolfo J.,Dulce Rubio Mateo,Riascos Villegas Alvaro J.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization

Link

https://link.springer.com/content/pdf/10.1007/s11590-020-01616-w.pdf

Reference20 articles.

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3. Chavez, E., Navarro, G.: An effective clustering algorithm to index high dimensional metric spaces. In: SPIRE 2000. Proceedings of the Seventh International Symposium on String Processing and Information Retrieval, pp. 75–86. IEEE, Computer Science (2000)

4. Cortes, C., Vapnik, V.N.: Support-vector networks. Mach. Learn. 20, 273–297 (1995)

5. Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Cambridge University Press, Cambridge (2000)

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