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支持向量机的应用

于 2022-04-16 发布 文件大小:148.50 kB
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SVM算法的应用的一个小应用。支持向量机(SVM)是90年代中期发展起来的基于统计学习理论的一种机器学习方法,通过寻求结构化风险最小来提高学习机泛化能力,实现经验风险和置信范围的最小化,从而达到在统计样本量较少的情况下,亦能获得良好统计规律的目的。

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