missing data

The random missing of data is modeled as a stochastic variable satisfying Bernoulli distribution.

采用满足伯努利分布的随机变量来描述数据的随机丢失.

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Furthermore, estimation of missing data by minimizing the whitened value of the sample is analyzed.

此外，还分析了使样本数据白化值最小的数据重构方法。

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But missing from all these data is the sense that today's young care very much about their country, about the broader civic and political environment, or about the future of their society.

但所有这些数据都缺少这样一种感觉，即今天的年轻人非常关心自己的国家，关心更广泛的公民和政治环境，或者关心自己社会的未来。

六级真题- 2016年 6月 3卷 信息匹配

MI is the most popular and systemic method with which to impute the missing data at present.

缺失数据多重估算是目前最为系统和完善的一种方法。

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Missing data imputation: Information gain based on approach

缺失值填充：基于信息增益的方法

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Unfortunately, the way a data point with missing data is handled depends on the using specification.

不幸的是，处理缺少数据的数据点的方法取决于using说明。

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And according to fact of the Kunming telecom's ODS data, the article made certain of basing characterized vector and target variable, individual sample influenced missing.

依据昆明电信ODS数据的实际，确定了个体样本影响流失的基本特征向量和目标变量。

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A new method of comparing the performance of imputation techniques in missing data problem

缺省值问题中一种新的比较补充方法的方法

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Bayesian Inference with Missing Data Imputation adjustment method for missing data

数据缺失条件下的贝叶斯推断方法缺失数据的插补调整

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Experimental results show that It'significantly outperforms the missing data and acoustic backing-off techniques.

实验结果表明,所提识别方法的性能显著优于丢失数据技术和声学后退技术.

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In this paper, we introduced a new gap coding method-simple indel coding and we compared it with coding gaps as missing data and the fifth character.

介绍了一种新的空位编码方式&简单indel编码，并将它与将空位编码成丢失的数据和编码成第5性状作了比较。

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Hot-deck Imputation for Missing Data on Matched Data

配比设计中缺失数据的hot-deck估算

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Develop extraction code to obtain the missing data elements.

开发抽取代码以获取丢失的数据元素。

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Firstly, the paper adopts the horizontal and vertical data smoothing method to process different load data, for the missing data, it uses similar selection methods for addenda, which avoids the impact for load forecasting accuracy by error data or missing data.

首先，本文采用数据横向和纵向平滑处理法对负荷异点进行了处理，用相似日选取方法对缺失的数据来进行补遗，避免了因错误数据或者缺失数据对负荷预测精度造成的影响。

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The former put the different activity records representing the same web entity activity together and works for the truth discovery, which can find the truth value from the different records and create a complete and accurate record by solving the data conflict and replenishing the missing data.

前者将指向同一Web实体活动的不同表象记录筛选出来，为Web实体活动真值发现服务，通过解决数据冲突、补充缺失数据并发现真值，最终得到完整准确的记录。

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However, the datasets which data mining search always contain missing data.

然而, 现实世界中的数据集往往不可避免地含有一些缺失数据(MissingData).

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For filling missing data values in the data pre-processing, an extensible algorithm based on strategy pattern is put forward.

针对数据预处理中的遗失值填充问题，运用策略模式设计了一种可扩展的遗失值填充算法；

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It is an important and difficult research project to learn decomposable Markov network structure with missing data. Missing data makes the dependency relationship between variables more disordered and it impossible to learn decomposable Markov network structure directly.

具有丢失数据的可分解马尔可夫网络结构学习是一个重要而困难的研究课题，数据的丢失使变量之间的依赖关系变得混乱，无法直接进行可靠的结构学习。

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Objective To discuss the application of hot-deck imputation for missing data on matched data.

目的探讨Hot deck估算在含有缺失数据的配比设计资料分析中的应用。

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Multiple Imputation for Missing Data on Household Health Survey Data

居民健康调查资料中的缺失数据的多重估算

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