Large Scale Transductive SVMs

Large Scale Transductive SVMs
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DOI:
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发表时间:
2006-12
期刊:
J. Mach. Learn. Res.
影响因子:
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通讯作者:
R. Collobert;Fabian H Sinz;J. Weston;L. Bottou
R. Collobert;Fabian H Sinz;J. Weston;L. Bottou
中科院分区:
其他
文献类型:
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作者:
R. Collobert;Fabian H Sinz;J. Weston;L. Bottou

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我们展示了如何将凹凸过程应用于传统上需要解决组合搜索问题的转移式支持向量机。这首次在非线性情况下提供了高度可伸缩的算法。详细的实验验证了该方法的实用性。软件可在http://www.kyb.tuebingen.mpg.de/bs/people/fabee/transduction.html上获得。
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 .