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chapter15_0

于 2017-05-23 发布 文件大小:1KB
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   svm 的参数优化,利用交叉验证法选择最优参数c g,最终提高训练集的分类准确率,更好的提高分类器性能(Svm parameter optimization, the use of cross-validation method to the optimal parameter c g, and ultimately improve the training set classification accuracy,better improve the classifier performance)

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chapter15_0.m,2004,2017-05-14

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