CMI:有条件的相互信息
“条件互信息”通常缩写为CMI,这种简写形式便于快速书写和使用,尤其在需要频繁提及该概念的各类综合性领域中应用广泛。该术语源于信息论,用于描述在已知某个变量的条件下,两个变量之间相互依赖的信息量,属于未明确归类的通用专业词汇。
Conditional Mutual Information具体释义
Conditional Mutual Information的英文发音
例句
- Research and Application of Ensemble Learning Based on Conditional Mutual Information(CMI)
- 基于条件互信息的集成学习的研究与应用
- This paper, first of all, introduces a new α order mutual information, whereby α order conditional mutual information and α order entropy are defined. As a result, many interesting properties parallel to Shannon Information Measure are obtained.
- 本文首先引入了一种新的α阶互息,并由此定义了α阶条件互息及α阶熵,得到了与Shannon信息量平行的许多有趣性质。
- In the proposed method, the causal strength or cor-relation between two variables can be accurately quantified by tuning conditional mutual information.
- 该方法通过微调条件互信息来准确定量变量之间的因果强度或相关性强度,对于调控关系给出了一个简洁的计算模型。
- Identification of Structure VAR Models Using Conditional Mutual Information(CMI) Graphs
- 结构VAR模型辨识的条件互信息图模型
- Since most algorithms are not effective and not very meaningful in combining, this thesis proposes an algorithm based on a kind of Semi-Naive Bayesian Classifier which is measured by conditional mutual information ( CMI-BSNBC ).
- 针对已有的学习算法中存在的效率不高及部分组合意义不大的问题,本文提出了条件互信息度量半朴素贝叶斯分类学习算法(CMI-BSNBC)。
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