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Bayes' theorem

  • 贝叶斯定理

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Bayes' theorem 贝叶斯定理

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Bayes' theorem Bayes 定理

rough sets Bayes theorem 粗集贝叶斯定理

theorem Bayes 贝氏定理

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Bayes' s theorem 贝叶斯公式

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  • 贝叶斯定理
  • 贝叶斯定理

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bayes' theorem

  • n. (statistics) a theorem describing how the conditional probability of a set of possible causes for a given observed event can be computed from knowledge of the probability of each cause and the conditional probability of the outcome of each cause

以上来源于: WordNet

 柯林斯英汉双解大词典 

Bayes' theorem /beɪz/

  • 1. 

    N the fundamental result which expresses the conditional probability P(E/A) of an event E given an event A as P(A/E).P(E)/P(A); more generally, where is one of a set of values which partition the sample space, P() = P()P()/Σ P()P(). This enables prior estimates of probability to be continually revised in the light of observations 贝叶斯定理 [statistics]

双语例句

  • The posterior probability is computed from the prior and the likelihood function via Bayes' theorem.

    先验概率验概率有不可分割联系,后验概率的计算要以先验概率为基础。

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  • Bayesian methods are those that are explicitly apply Bayes' Theorem for problems such as classification and regression.

    叶斯方法那些明确地分类回归问题中应用叶斯定理的算法。

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  • After analyzing several theory models of inductive reasoning, we use the Bayes Theorem to prove the premise probability principle, and integrate this theory with human mental process.

    分析多个理论模型基础上,采用叶斯定理证明前提概率原则原则人类心理过程相结合,将归纳推理分解为连续进行的三步过程。

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