实验的第二部分，通过和其他几种社团算法比较，证明了本文提出的解模型选择标准有较高的准确度。
In the second part, the experiments also show that the model selected by these two criteria is more accurate than GN and the algorithm based on modularity optimization.
文献中已有的软件可靠性模型的选择方法和工具因为使用了受限的模型选择标准而得不到广泛的应用。
Tools and techniques in the literature can not be broadly used due to the limited number of model selection criteria they adopt.
针对目前以拟合精度作为模型选择标准的方法，提出了以预测值的置信区间最小为标准选择预测模型的方法。
View of the current selection of forecasting models in order to minimize the fitting error, a method of selecting forecast model was put forward based on minimum error of forecast.
可以选择将术语表模型添加到项目属性中，作为项目的命名标准。
You can choose to add the glossary model to the project properties as the naming standard for that project.
相反，可以选择使用规范中定义的标准SDOAPI来创建数据模型的实例，以将数据传输到其他应用程序。
Instead, you have the option of using the standard SDO APIs defined in the specification to create instances of the data model to transfer data to other applications.
合同的一部分是选择一个预先定义的使用模型并在诸如x509 . v3的证书标准上达成一致。
Part of this contract is the selection a predefined usage model and the agreement on the certificate standard, like X509.v3.
当选择命名标准依从规则时，作为项目命名标准添加到项目属性中的术语表模型会显示在向导的下一个页面上。
When you select the naming standard compliance rule, the glossary models added to project properties as project naming standard show up on the next page of the wizard.
选择您的标准化多维模型中的所有实体，并将这些实体拖放到图表编辑器中。
Select all the entities in your normalized dimensional model, and drag them and drop them into the Diagram editor.
为了使用rda定义命名标准，要在术语表模型中指定为数据对象名称选择的词汇，并使用数据对象标准首选项指定词汇的模式。
To define a naming standard using IDA, you specify terms chosen for data object names in a glossary model and the patterns of terms using the data naming standard preferences.
对象管理组织OMG选择将统一建模语言UML作为标准建模语言，并将其作为模型驱动架构MDA的支持平台。
Unified modeling language (UML) is selected by object management group (OMG) as a standard modeling language and model driven architecture (MDA) is constructed on it.
在更新话题模型的过程中，尝试确定性和不确定性相结合的方式作为样本选择标准。
In the process of updating topic model, a method combining certainty and uncertainty is used to select samples.
我们会讨论为一个组织选择合适成熟度模型的选择标准。
Selection criteria for choosing a suitable maturity model for an organisation are discussed.
客户细分模型是指选择一定的细分变量，按照一定的划分标准对客户进行分类的方法。
Customer segmentation model refers to a model that classifying customers by selected segmentation variables, on certain standard.
并且讨论了泛播的基本概念，网络模型和服务选择标准，对移动自组网络中的泛播研究现状进行了回顾和分析。
Researches on ANYCAST in Mobile Ad hoc network are analyzed with the discussion of conception, networking model, and the service choosing measures of ANCAST.
利用UCI标准数据集对本文所提出的样本选择模型进行测试，实验结果证明了该模型的有效性。
The proposed sample selection model is tested on UCI dataset, which proves the efficiency of the model.
并结合AHP方法提出了对于物流外包的评价模型，以及运用该模型进行物流外包合作伙伴选择的标准与指标。
At last, this paper presents a model based on AHP for the selection of outsourcing partners. Meanwhile the criteria for selection in this model are also given.
论证房地产企业战略联盟的建立在遵循一定原则的基础上，还应该以“4c”为标准加强对潜在合作伙伴的选择评价，并构建了联盟伙伴的两阶段选择、评价模型。
As for the building of the real estate enterprises 'alliance, the paper is given the "4c" rules to elevate the potential partners, and erect the two stage-evaluation model.
本章，我们对可供选择的函数形式按照灵活性标准进行了划分，讨论分析了不同类型的灵活函数的特点及优越性，从而为本文经验模型的选择奠定基础。
This chapter has given out a brief introduction of the envolution of the mode of function, compared the characters between each other, thus established foundation for empirical models.
当选择命名标准依从规则时，作为项目命名标准添加到项目属性中的术语表模型会显示在向导的下一个页面上。
When you select the naming standard compliance rule, the glossary modelsadded to project properties as project naming standard show up on the nextpage of the wizard.
根据检测结果用径向基函数插值方法将事先选择好的一个中性标准网格模型进行空间网格变形使其变形为个性化人脸几何模型；
Thirdly we employ radial basis functions (RBF) interpolation method to deform a neutral generic model to the personalized geometry model according to the detected features.
另外，结果显示：对于同样的数据不同的选择标准经常选择出不同的最优模型；
Results We demonstrate that the Bayesian information criterion and decision theory are the most appropriate model-selection criteria because of their high accuracy and precision.
另外，结果显示：对于同样的数据不同的选择标准经常选择出不同的最优模型；
Results We demonstrate that the Bayesian information criterion and decision theory are the most appropriate model-selection criteria because of their high accuracy and precision.
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