英语词汇independence assumption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

independence assumption

释义

independence assumption

简明释义

独立性假设，独立性假定

网络释义

1
?独立性假设
独立性假设（independence assumption）：每一个类别特征中的数据或者与其他特征无关，或者与其他特征的相关性很弱，以至于我们忽略它也不会带来多大的损失。
2
[数统计]?独立性假定
... 独立性定理 independence theorem 独立性假定 independence assumption 独立性检定 test of independence ...

短语

1
Conditional Independence Assumption
条件独立性假设
2
additive independence assumption
可加独立性假设
3
attribute independence assumption
属性独立性假设

双语例句

1
To relax the term independence assumption, term dependency is introduced and it has improved retrieval precision dramatically.
利用词项依存关系来改进词袋模型，一直是文本检索中一个热门话题。
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
Naive Bayes classifier is a simple and effective classification method based on probability theory, but its attribute independence assumption is often violated in the real world.
朴素贝叶斯分类器是一种简单而有效的概率分类方法，然而其属性独立性假设在现实世界中多数不能成立。

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单词	independence assumption
释义	independence assumption 简明释义独立性假设，独立性假定网络释义 1 ?独立性假设独立性假设（independence assumption）：每一个类别特征中的数据或者与其他特征无关，或者与其他特征的相关性很弱，以至于我们忽略它也不会带来多大的损失。 2 [数统计]?独立性假定 ... 独立性定理 independence theorem 独立性假定 independence assumption 独立性检定 test of independence ... 短语 1 Conditional Independence Assumption 条件独立性假设 2 additive independence assumption 可加独立性假设 3 attribute independence assumption 属性独立性假设双语例句 1 To relax the term independence assumption, term dependency is introduced and it has improved retrieval precision dramatically. 利用词项依存关系来改进词袋模型，一直是文本检索中一个热门话题。 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 Naive Bayes classifier is a simple and effective classification method based on probability theory, but its attribute independence assumption is often violated in the real world. 朴素贝叶斯分类器是一种简单而有效的概率分类方法，然而其属性独立性假设在现实世界中多数不能成立。
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