然而，我们知道的是，人们做出的决定基于对概率的判断，而此他们在头脑中不断计算和精确这个判断——这叫做“概率推理”。
What is known, however, is that people make decisions based on probabilities, which are constantly being calculated and refined in their heads—something called “probabilistic inference”.
而已知的是，人们是通过在脑中不断地计算和修正概率来做出决定的，这被叫做“概率推理”。
What is known is that people make decisions based on probabilities that are constantly being calculated and refined in their heads—something called "probabilistic inference".
重点介绍概率理论的历史，以及盖然论和因果推理的计算方法。
Emphasizes history of probability theory and computational approaches to probabilistic and causal inference.
所提出计算模型为贝叶斯网的概率推理提供了一种新的局部计算方法。
The proposed computation models will supply new local computation methods for Bayesian network probabilistic inferences.
所提出计算模型为贝叶斯网的概率推理提供了一种新的局部计算方法。
The proposed computation models will supply new local computation methods for Bayesian network probabilistic inferences.
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