outliers的例句大全

A method of detection of outliers from the exponential distribution is given by sample fractile to construct test statistics.

利用样本分位数构造检验统计量，给出来自于指数分布总体异常数据的一种检测方法。

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The same philosophy informs the Cisco and Deloitte programmes, which generate a scatter chart of team performance, rather than a single number, allowing managers to spot outliers and assess how individuals are doing more fairly and accurately.

同样的理念启迪着思科和德勤的项目，这些项目产生有关团队业绩的散点图表，而非单个数字，让经理们发现异常值，并且更为公平、准确地评估个人表现。

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RESULTS: Outliers in reaction curve greatly reduced the reliability of parameters obtained by this integrated method.

结果：被分析数据中的畸异值显著降低结果可靠性。

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As a result, the problem of testing the outliers in two-parameter Weibull examples is solved primely.

这样双参数Weibull分布场合下异常值的问题得到很好地解决。

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Statistical diagnosis method for outliers from spacecraft tracking data

靶场外测数据野值点的统计诊断技术

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Detection of Outliers from Spacecraft Tracking Data using GP-RBF Network

GP-RBF网络应用于飞行器外测数据野值实时剔除

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Algorithm for Trailing Outliers in Electronic Shopping

一种对电子商店中孤立点进行跟踪的算法

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Group customers by profession and provide an overview on how many outliers can be found in each profession category.

将客户按职业分组，并提供关于每种职业发现多少离群值的概述。

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Data records that deviate from the global distribution of data records are called outliers.

偏离全局数据分布的数据记录称为离群值（outlier）。

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Finally, analysis and experiments on one toy problem and a benchmark dataset show the superiority of EnPCC to PCC in eliminating outliers or noise, learning ability and generalization.

分析和实验证实了增强的主分量分类器的抗野值、噪声性能以及学习和推广能力均优于主分量分类器。

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Method of Detection for Outliers in Two-parameter Lognormal Distribution

双参数对数正态分布异常数据的检测方法

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This paper presents a Local Outlier Coefficient-Based ( LOC) Mining of Outliers.

提出了一种基于局部孤立系数（LOC）的孤立点挖掘算法。

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Some valuable works in the paper include: First, based on the algorithm of based-cell detection, the paper presented a dynamic adjustment function on "M" which can work out a problem of outliers fault-making on boundary cell.

在基于单元的孤立点数据挖掘算法基础上，针对边界单元格出现的孤立点误判问题，给出了对M值进行动态调整函数。

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Outliers detection method based on K-means and agglomerative clustering

基于K-均值聚类和凝聚聚类的离群点查找方法

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Propose a new agglomerative hierarchical clustering based method to eliminate outliers, with clustering tree to identify outliers.

提出一种基于凝聚层次聚类消除孤立点的新方法，借助聚类树识别孤立点。

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Real-time Outliers Detection in Multi-Source Trajectory Data Based on Weighted Fusion

基于加权融合的多信源弹道数据实时野值检测方法

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but there are two outliers: fast casual restaurant chains potbelly and noodles& company, which both saw their share prices more than double on their first days of trading.

但也有两个例外：快速休闲连锁餐厅Potbelly和Noodles公司，这两家公司上市首日股价就翻了一倍。

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The second is to examine only carefully chosen outliers, usually high-performing firms.

其二，只研究精心挑选的案例，通常是表现最好的公司。

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Finally, we recommend a pre-test method of detecting the outliers which are influential observation to unit root testing.

最后，建议了一种诊断单位根检验强影响点的预识别方法。

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The outlier detection is an important task of data mining and knowledge discovery in database.

综述了离群数据（outliers）探测是数据挖掘和知识发现的一项重要任务及其在天文学中兴起的必然性。

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