我决定研究一下，对于贝叶斯垃圾邮件过滤器，一个绝对有限的模型空间究竟工作得有多好。

I decided to look into how well a much more starkly limited model space would work for a Bayesian spam filter.

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贝叶斯模型平均法用来综合各模型的结果并提供一种反映模型选择和抽样变异性的不确定性度量。

Bayesian model averaging was used to combine the results across models and to provide a measure of uncertainty that reflects the choice of model and the sampling variability.

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从心理上来说，人们更倾向于贝叶斯的理论，甚至到了经常做出错误联系的程度，而这种风险则令科学家们更加偏好帕斯卡的观点——它似乎挺客观。

Psychologically, people tend to be Bayesian—to the extent of often making false connections. And that risk of false connection is why scientists like Pascal's version of the world.

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