英语词汇conditional independence怎么读，是什么意思，单词翻译、读音、固定搭配用法和短语词组及例句-英汉双解词典

单词

conditional independence

释义

conditional independence

简明释义

条件独立性

网络释义

1
?有条件的独立性
...conditional independence, Markov property, density factorisation, copula, pair-copula construction, regu[gap=210]关键词：图形化模型，有向无环图，有条件的独立性，马氏性，密度因子分解，动词，对系词建设，定期藤，似然推断。

短语

1
Conditional Independence Assumption
条件独立性假设
2
conditional independence assumptions
条件独立性假设
3
conditional independence ci
条件独立性

双语例句

1
The identifiability for causal effects under a type of assumptions based on conditional independence in a causal model is treated by equation method.
运用方程组求解的方法来解决一类因果效应可识别的充要条件的问题。
2
Absrtact: Naive Bayesian classifier is a simple and effective classifier, but its conditional independence assumption makes it unable to express the dependence among features.
摘要：朴素贝叶斯分类器是一种简单而高效的分类器，但它的条件独立性假设使其无法表示属性问的依赖关系。
3
If the NB conditional independence assumption actually holds, a Naive Bayes classifier will converge quicker than discriminative models like logistic regression, so you need less training data.
倘若条件独立性假设确实满足，朴素贝叶斯分类器将会比判别模型，譬如逻辑回归收敛得更快，因此你只需要更少的训练数据。

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单词	conditional independence
释义	conditional independence 简明释义条件独立性网络释义 1 ?有条件的独立性 ...conditional independence, Markov property, density factorisation, copula, pair-copula construction, regu[gap=210]关键词：图形化模型，有向无环图，有条件的独立性，马氏性，密度因子分解，动词，对系词建设，定期藤，似然推断。短语 1 Conditional Independence Assumption 条件独立性假设 2 conditional independence assumptions 条件独立性假设 3 conditional independence ci 条件独立性双语例句 1 The identifiability for causal effects under a type of assumptions based on conditional independence in a causal model is treated by equation method. 运用方程组求解的方法来解决一类因果效应可识别的充要条件的问题。 2 Absrtact: Naive Bayesian classifier is a simple and effective classifier, but its conditional independence assumption makes it unable to express the dependence among features. 摘要：朴素贝叶斯分类器是一种简单而高效的分类器，但它的条件独立性假设使其无法表示属性问的依赖关系。 3 If the NB conditional independence assumption actually holds, a Naive Bayes classifier will converge quicker than discriminative models like logistic regression, so you need less training data. 倘若条件独立性假设确实满足，朴素贝叶斯分类器将会比判别模型，譬如逻辑回归收敛得更快，因此你只需要更少的训练数据。
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