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1)  the requirements of establishment
设立条件
1.
On the requirements of establishment of individual-owned enterprise;
个人独资企业设立条件的立法思考
2)  conditional independence assumption
条件独立性假设
1.
By giving distinct classification rule to each sample,decision forest rather than decision tree is constructed to automatically determine relatively independent attribute subset,and based on this we integrate submodel by applying conditional independence assumption.
提出一种基于决策森林构造的多重子模型集成方法,通过对每个样本赋予决策规则,构造决策森林而非单个决策树以自动确定相对独立的样本子集,在此基础上结合条件独立性假设进行模型集成。
3)  hypothesis of conditional independence
条件独立性假设
1.
We proved that the hypothesis of conditional independence between TM bands was successful, and analyzed the feasibility of applying Na ve Bayesian Networks to the classification of multi-spectral image through experiment.
用基于启发式搜索的结构学习算法,学习得到多光谱影像的贝叶斯网络结构,分析了TM的波段(特征)间条件独立性假设的合理性,给出了贝叶斯推理中后验概率计算的公式,并通过和最大似然法对比试验分析了简单贝叶斯网络应用于多光谱影像分类的优势。
4)  site condition
立地条件
1.
Effects of site conditions and cultivation on growth of sawtooth oak plantations;
立地条件及抚育措施对麻栎人工林生长的影响
2.
Preliminary study on the relationship between site conditions and the density and fiber conformation of Phyllostachy pubescens;
立地条件与毛竹竹材密度和纤维形态关系初探
3.
The impaction of climate and site condition on the growth and fruiting of Chinese chestnut;
气候和立地条件对板栗生长结果的影响
5)  conditional independence
条件独立
1.
In this paper,we give the concept of conditional independence by conditional probability and obtain some properties of conditional independence.
本文应用条件概率给出了条件独立的概念,得到了条件独立的相关性质。
2.
We propose the concept of conditional independence between the estimators of the regression parameter and the unknown variance.
本文给出未知方差的估计量和它的性质,提出方差估计量和参数估计量之间条件独立的概念,有了这些性质,就可以定义t统计量和F统计量,它们是方差未知时做统计推断所必须的。
3.
The identifiability for causal effects under a type of assumptions based on conditional independence in a causal model is treated by equation method.
只要运用该方程组解的性质便可判断在一类条件独立假设之下因果效应是否可识别 。
6)  conditional independent
条件独立
1.
Though studying some concepts and formulas in theory of probability,we give the definition of conditional independent between two random events and the formula probability in complete events set,and a simplified formula for density s function in n random variables is given.
通过对概率论中有关公式的研究,给出了条件独立的定义、推广了全概率公式和贝叶斯公式,并给出了n维随机变量函数的密度函数的简化计算公式。
2.
With model 1, it is assumed that xi,(i= 1,2) is conditional independent under θi(i=1,2).
方法一是假定xi(i=1,2)关于θi(i=1,2)条件独立;方法二假定x1、x2无条件独立。
补充资料:发起设立

发起设立——
       发起设立是指由发起人认购公司应发行的全部股份而设立公司。发起人必须认足公司发行的全部股份,社会公众不参加股份认购。


说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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