It operates on a principle, called structural risk minimization, which aims to minimize the upper bound on the expected generalization error.

它基于结构风险最小化准则，目的是最小化泛化误差上界。

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Subspace information criterion is a new criterion for model selection, it gives an unbiased estimate for the generalization error under some assumptions.

指出子空间信息准则是模型选择的一种新准则，它在一些假设条件下，给出推广误差的一种无偏估计。

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The generalization error of Support Vector Machine is approximately equal to that of Probabilistic Neural Network. And Support Vector Machine is easier to use than Neural Networks.

支持向量机的分类误差与概率神经网络相近，但支持向量机的使用较概率神经网络简单。

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The generalization error of Support Vector Machine is approximately equal to that of Probabilistic Neural Network. And Support Vector Machine is easier to use than Neural Networks.

支持向量机的分类误差与概率神经网络相近，但支持向量机的使用较概率神经网络简单。

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