Bayesian learning is a probability method that makes optimal decision based on known probability distribution and recently observed data.
贝叶斯学习是一种基于已知的概率分布和观察到的数据进行推理,做出最优决策的概率手段。
For food defense against intentional contamination, the lack of any known probability and the large number of potential agents make detection strategies even more problematic.
对于抵制有意污染物的食物防御来说,缺乏对潜在药剂理解的可行性使得制定决策变得更加问题化。
One fairly simple thing you are likely to do with linguistic corpora is analyze frequencies of various events within them, and make probability predictions based on these known frequencies.
对于语言全集,您可能要做的一件相当简单的事情是分析其中各种事件(events)的频率分布,并基于这些已知频率分布做出概率预测。
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