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Oznake: computer science;machine learning;kernel methods;support vector machines
We propose a new algorithm for training a linear Support Vector Machine in the primal. The algorithm mixes ideas from non smooth optimization, subgradient methods, and cutting planes methods. This yields a fast algorithm that compares well to state of the art algorithms. It is proved to require $O(1 ...
Leto: 2008 Vir: videolectures.net
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