RSVM: Reduced support vector machines (2001)
by
Yuh-jye Lee
,
Olvi L. Mangasarian
| Venue: | Data Mining Institute, Computer Sciences Department, University of Wisconsin |
| Citations: | 97 - 16 self |
BibTeX
@INPROCEEDINGS{Lee01rsvm:reduced,
author = {Yuh-jye Lee and Olvi L. Mangasarian},
title = {RSVM: Reduced support vector machines},
booktitle = {Data Mining Institute, Computer Sciences Department, University of Wisconsin},
year = {2001},
pages = {00--07}
}
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Abstract
Abstract An algorithm is proposed which generates a nonlinear kernel-based separating surface that requires as little as 1 % of a large dataset for its explicit evaluation. To generate this nonlinear surface, the entire dataset is used as a constraint in an optimization problem with very few variables corresponding to the 1%
