Cross-validation

Both of the models were trained by a ML ( maximum likelihood) algorithm for Bayesian network learning, then the testing DNA sequence data were feed into the model and a 10-fold cross validation method was used to evaluate the performance of prediction.

通过贝叶斯网络的最大似然学习算法求出模型参数后，利用10分组交互验证方法对测试数据进行剪接位点预测。

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Through the cross-validation, the final structural model was of model stability.

最终模式的交叉验证具有模式稳定性.

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The accuracy of rainfall estimation using the co-Kriging method was analyzed with cross validation supplementary data.

有关于共克利金法推估雨量之精确度,本研究乃以交叉验证法予以衡量.

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The generalized cross-validation leads to a good selection of regularization parameters also.

并且应用广义交叉检验准则方法确定了最优的正则化参数.

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The approaches to the subject include: genetic algorithm for optimal feature subset selection; k-fold cross-validation method for error rate evaluation and BP neural network for fault classification.

针对此问题，提出使用基于绕封模型的故障特征选择方法，它采用遗传算法对特征集寻优，样本划分法进行错误率预测估计和BP神经网络学习算法进行分类。

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Ontology ; Na ? ve Bayes Classifier; Formal Concept Analysis; Document Classification; Ten-fold Cross Validation.

贝氏分类器; 本体论; 正规概念分析法; 文件分类; 交叉验证法.

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In the one-tailed ANOVA analysis table only the index "rural per capita net income" had the highest F value and the classification accuracy of Cross-validation samples is 88.9% in discriminant analysis which show the classification results is ideal.

单尾ANOVA分析表中只有农民人均纯收入指标的显著性不佳，而判别分析中交叉验证样本的分类正确率为88.9%，说明分类的结果比较理想。

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It combines fast optimal brain surgeon, dynamic optimization of learning parameters and fast cross-validation.

这种启迪方法综合采用了快速自顶向下优化神经网络结构算法、动态优化学习参数算法和快速交叉校验算法。

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Quantitative methods such as cross-validation and nomological validity are used to test reliability, validity and the prediction to job performance of the questionnaire and the competency model.

通过预试性调查、交叉证实检验、法则有效性（Nomological Validity）等定量分析方法反复检验问卷的信度和胜任力模型的构念效度以及胜任力模型对绩效的预测力。

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We have applied holdout method and 10-fold cross-validation method in the system. They estimate mainly the accuracy rate of the model.

本系统实现的是保持法和10折交叉确认法，主要是对生成的决策树模型进行准确率方面的评估。

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The stability and accuracy of predicted outputs were tested by the leave-one-out cross validation.

用缺一交叉验证法检验网络的稳定性与预测精度.

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They are tested using 10-fold cross validation with two real world data sets, and compared with five neural network models of David West's.

在两个真实数据集上用10层交叉验证对朴素贝叶斯信用评估模型进行了测试，并与五种David West的神经网络个人信用评估模型进行了对比。

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Conclusion Cross-validation is relatively broadly applicable to the complicated model selection.

结论交互证实在复杂的模型选择中有较为广阔的应用前景.

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Cross-validation is used for validating the application, relative error is mainly as the standard of validation, absolute error is also obtained.

采用交叉验证的方式，以相对误差作为主要的判别标准，兼顾了绝对误差。

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The grid search method based on k fold cross validation error for selecting the model parameters of SVM is also presented.

针对支持向量机的参数选择问题，文中采用基于k折交叉验证误差的网格搜索法。

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