To the problem that the standard SVM does not provide probabilities output, the probabilistic outputs for support vector machines is modeled based on the maximum entropy estimation.

针对传统的支持向量机方法不能提供后验概率的输出问题，从信息熵的角度采用最大熵估计方法，直接对支持向量机输出进行后验概率建模。

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The inverse problem of Support Vector Machine (SVM) is how to split the dataset into two clusters so that the margin between the two clusters reaches maximum.

支持向量机（SVM）反问题研究的是如何把无类标签的数据集合分成两类才能得到最大的间隔。

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