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Large Scale Transductive SVMs
2006
Journal of machine learning research
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.
dblp:journals/jmlr/CollobertSWB06
fatcat:d2cra5sawjbv5f5oz64swodgou