从平均理论上讲，最小概率为0，即成都人称的“理论叫”(意思是说，你的牌已下听，但永远不可能和，戏称“死叫”)。

From an average in theory, the smallest probability is 0, the chengdu person "theory called" (mean, your card has to listen to, but can never be and, called "dead").

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这些指标是风险概率评估和网络管理的最小割集。

These indicators are the minimum cut sets in probabilistic risk assessment and network management.

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提出了一种基于最小分类错误准则的概率神经网络的训练算法。

This paper presents an efficient training algorithm for probabilistic neural networks using the minimum classification error criterion.

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