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。
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... 独立性定理 independence theorem 独立性假定 independence assumption 独立性检定 test of independence ...
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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。
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。
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。
.. What I'm going to do now-- let's start out with the case where-- now it's going to get a little bit more complicated if we drop the independence assumption.
我现在要做的是-,让我们从案例开始-,接下来的情况会比刚才的复杂一点,因为我们去掉了“相互独立“这一前提假设。
I'm going to drop more than the independence assumption, I'm going to assume that the assets don't have the same expected return and they don't have the same expected variance.
我还想做出一些改动,即这些资产的预期收益率,是各不相同的,方差也是不同的。
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