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Large Scale Transductive SVMs.
- Source :
-
Journal of Machine Learning Research . 8/1/2006, Vol. 7 Issue 8, p1687-1712. 26p. 8 Charts, 9 Graphs. - Publication Year :
- 2006
-
Abstract
- We show how the concave-convex procedure can be applied to transductive SVMs, which traditionally require solving a combinatorial search problem. This provides for the first time a highly scalable algorithm in the nonlinear case. Detailed experiments verify the utility of our approach. Software is available at http://www.kyb.tuebingen.mpg.de/bs/people/fabee/transduction. html. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15324435
- Volume :
- 7
- Issue :
- 8
- Database :
- Academic Search Index
- Journal :
- Journal of Machine Learning Research
- Publication Type :
- Academic Journal
- Accession number :
- 22787001