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The Learning Rate of l_2-Coefcient Regularized Classifcation with Strong Loss 被引量：1

The Learning Rate of l_2-Coefcient Regularized Classifcation with Strong Loss
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摘要 In the present paper, we give an investigation on the learning rate of l2-coefficient regularized classification with strong loss and the data dependent kernel functional spaces. The results show that the learning rate is influenced by the strong convexity. In the present paper, we give an investigation on the learning rate of l2-coefficient regularized classification with strong loss and the data dependent kernel functional spaces. The results show that the learning rate is influenced by the strong convexity.
作者 Bao Huai SHENG Dao Hong XIANG
机构地区 Department of Mathematics Department of Mathematics
出处 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2013年第12期2397-2408,共12页 数学学报（英文版）
基金 Supported by National Natural Science Foundation of China(Grant Nos.10871226,11001247 and 61179041) Natural Science Foundation of Zhejiang Province(Grant No.Y6100096)
关键词 Kernel classification learning rate coefficient regularization strong convex loss function Kernel classification, learning rate, coefficient regularization, strong convex loss function
分类号 O153 [理学—基础数学]
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Acta Mathematica Sinica,English Series
2013年 第12期

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