查询词典 conditional convergence

In this thesis,using histogram technique,aqualitative analysis of the marginal and conditional distribution is implemented.Then weconstructed a hidden markov tree model for the coefficients,and used this model for imagedenoising.

本文使用直方图方法，定性分析了分解系数的联合分布及条件分布，在此基础上利用方向性滤波器组的多尺度结构，为其系数建立了隐马尔可夫树模型。

However, the actual conditions in the market incompletely support this hypothesis. So, we turn to research the statistic distribution traits of the yield under different market conditions. To develop the investigation on securities' investment combination according to the distribution characters of conditional yield will make its actual application closer to the market facts.

然而，实际的市场情况并不完全支持这种假设，因此，我们转而研究不同市场条件下的收益率统计分布特征，根据条件收益率的分布特征进行投资组合理论研究，将使其实际应用更加贴近市场实际。

We build the system using the maximum entropy model and conditional random field model.

我们分别采用最大熵和条件随机场这两种基于统计的模型建立了系统。

Design of mutual information, entropy, information gain, conditional entropy and more.

设计互信息，熵，信息增益，条件熵等等功能。

Proposed an analysis method based on the conditional entropy which gives quantitative analysis to the security of BLP model.

论文的具体内容包括：保密性和完整性结合，支持下向信息流的LBAC模型的改进方案，以及一个保密性和完整性相融合的动态二维强制访问控制模型。

The structure and size of the network is determined by conditional class entropy.

实验显示这种神经网络树对于识别大样本集和复杂模式是非常有效的

This paper proposes a heuristic algorithm for attribution reduction based on conditional entropy by the comprehension and analysis of data mining algorithm based on rough set theory.

本文在理解和分析基于粗糙集理论的数据挖掘算法基础上针对属性约简提出了一个基于条件熵的启发式算法。

In previous researches, the Maximum Entropy model and Conditional Random Field model have been widely used in the study of Chinese Word Segmentation.

分词是汉语自然语言处理研究中非常重要的一个环节，在早先的研究中，最大熵模型和条件随机场模型已经广泛运用到汉语自动分词的工作中。

Examples are given to illustrate the conditional entropy maybe increased,so Shannon's definition of information is not absolutely correct.

从新的角度指出了香农信息论的局限性，指出了它没有考虑信息的可靠性，完备性等特点，指出条件熵的计算公式问题并且进行了纠正，并且举例证明了条件熵可能增加，进而香农信息定义中的不确定性的减少也不是绝对的。

Then, two new algorithms based on conditional entropy, namely CEBARKCC algorithm and CEBARKNC algorithm, are developed in the thesis.

在上述规律的基础上，论文提出了两个新的基于Rough Set理论的启发式知识约简算法：CEBARKCC算法和CEBARKNC算法。

Now he worked in ajoint venture.

现在他在一家合资企业工作。

More troops in Afghanistan won't change any of the foregoing.

更多的在阿富汗的军队也不会改变之前的状况。