sample set

In this method, the hybrid point and polygon rendering surmounts the obstacle of large flat surface representation by point sample set.

该方法可以将点与多边形相结合混合表示几何模型，克服了点模型在表示大平面时效率低的缺点。

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The new robust PCA algorithm can recognize the outliers in the sample set automatically and exterminate their effects to the accuracy of the PCA algorithm through proper processing to the outliers.

修正PCA算法能够在运行过程中自动地识别样本集之中的劣点，从而通过迭代计算加以适当处理来排除对运算精度的影响。

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What we only need was finding the appropriate sample set in actual application, so that the goal slope's safety coefficient and its stability conditions could be worked out by the very program.

因此，在实际应用中只要找出合适的学习样本集合，即可使用本程序求解目标边坡的安全系数及边坡稳定状态。

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Then, to solve the problem of SVM training speed for large-scale sample set, the reduction method for SVM training samples under the original sample space is proposed.

然后，提出一种在原始样本空间下缩减训练样本规模的算法，以解决大规模样本集下SVM的训练问题。

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Enclosed please find a set of sample sheets.

附上样稿一份,请查收.

《现代汉英综合大词典》

Finally, in the division of the sample set up the new field of fuzzy support vector machine and fuzzy time sequence combination forecast model, and applied it to the sewage treatment process, to get a good effect.

最后，在划分的样本论域中建立起了新的模糊支持向量机与模糊时间序列组合预测模型，并将其运用到污水处理过程中，得到较好的效果。

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Simulation results indicate that this method has higher accuracy. Finally, the actual data of power system load in a certain place in Sichuan Province in 2006 is used as the sample to set prediction model 、 test results and verify the accuracy of the model.

论文最后以2006年四川省某地电力系统实际负荷数据为样本集进行建模和预测，并以相对误差为性能指标进行了检验。结果表明，该方法达到较高的预测精度。

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Specimen: Sample page set to show the typography.

样本: 预示排字格式的一页稿样.

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Finding the SDF for any sample set by means of two-step pseudoinverse

求解任意样本集的综合鉴别函数的两步伪逆法

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The PDK helps you get started by providing a sample set of two component plug-ins and one link plug-in.

PDK提供了一组包含两个组件插件和一个链接插件的样例来帮助您入门。

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But the classification capability is lower for those patterns away from sample set or new patterns.

但这类网络对于远离训练样本集的模式或新的模式类型，其分类能力较低。

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Current feature selection algorithms are all based on term frequency, and ignore the class information in the training sample set. A new feature selection algorithm based on class information was put forward.

目前的索引词选择算法大多是基于词频的，没有利用训练样本中的类别信息，为此提出了一种新的基于类别的特征选择算法。

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To set up the SAMPLE database for automatic statistics collection, set the database configuration parameters for automatic maintenance switches as follows

为了设置SAMPLE数据库自动进行统计信息收集，需要为自动维护开关设置数据库配置参数，如下所示

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The kernel based weighted KNN algorithm solves the multi peak distribution problem and the overlap boundary problem of the sample set, as well as the classifier's precise decision problem.

基于核的距离加权KNN算法解决了样本的多峰分布、边界重叠问题和分类器的精确分类决策问题。

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Take full account of the preparation of standard test sample, set of device parameters, temperature and other details on the polyethylene pipe specimen, constant strain rate tensile, creep test and relaxation test are accomplish.

充分考虑标准试验试样制备、设备参数设置、温度调节等细节，对聚乙烯管试样进行等速率拉伸、蠕变、松弛试验，通过合理的试验处理得到真实应力应变曲线以及力学性能参数。

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Because the size of the uncertainty region is much less than that of the original sample set, the training burden of the neural networks is alleviated very much.

由于不确定区域样本数远远小于原始样本集的样本数，因此大大减轻了神经网络的训练负担，提高了训练的速度和效果。

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When a training sample set is unlabelled and unbalanced, attack detection is treated as outlier detection or density estimation of samples and one-class SVM of hypersphere can be utilized to solve it.

针对训练样本是未标定的不均衡数据集的情况，把攻击检测问题视为一个孤立点发现或样本密度估计问题，采用了超球面上的One-Class SVM算法来处理这类问题；

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Due to the limited sample set of the training database, it is difficult for all the face images are included in the training sample under non-ideal conditions.

由于数据库中的训练样本集有限，所以很难把各种非理想情况下的人脸图像都包括在训练样本中。

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In our method, training sample set are divided into several non-overlapping subsets by clustering.

在该方法中，训练样本被聚类划分为不同的子集进行训练，得到多个分类器。

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However, outliers in the sample set will take much effect on the extracted principal component, even though the proportion of them is small.

然而，当样本集中含有劣点时，即使是劣点所占比例极小，也会对所提取的主分量有较大的影响。

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The method was test through real sample set, and97.47% of analysis precision rate was attained.

经实际样张测试，本文方法的分析精度达到了97.47%。

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