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 computer robot would then suggest the most logical output based on mathematical computation that yielded the best results within a given time period, taking into account potential statistical probabilities for failures and unpredicted consequences.

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