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- W2029384563 abstract "This paper applies Wolfe's algorithm for finding the minimum norm point in a polytope to training of standard SVM with hinge loss. The resulting algorithm is guaranteed to obtain an exact optimal solution within a finite number of iterations. Experiments illustrate that our algorithm runs faster than existing algorithms such as LIBSVM for the same model. In comparison with LIBLINEAR, which adopts a variant of SVMs, our approach works better when the feature size is modest; the feature size is sufficiently smaller than the sample size." @default.
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- W2029384563 date "2014-09-01" @default.
- W2029384563 modified "2023-09-29" @default.
- W2029384563 title "Exact SVM training by Wolfe's minimum norm point algorithm" @default.
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- W2029384563 doi "https://doi.org/10.1109/mlsp.2014.6958914" @default.
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