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1.SVM captures the main insight of statistical learning theory (in order to obtain a small risk (cost) function, one needs to control both training error and model complexity) and shows better generalization ability than data mining algorithms based on empirical risk minimization (ERM) principle. SVM have proven to be effective in many practical applications.
不同于神经网络、决策树等传统算法基于经验风险最小化(Empirical Risk Minimization,ERM)准则,SVM基于结构风险最小化(Structural Risk Minimization,SRM)准则,即同时考虑经验风险和模型复杂度,因而获得良好的泛化性能。收藏指正
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