In Expert system, usually probability is defined as subjective credit degree of experts to evidence and regulation, and Bayes theorem is key solution in probability reasoning.

The method of solution is based on Bayes' theorem, used to find the best fit values of parameters and the associated covariance matrix.

以及基于贝叶斯定理的拟合方法，其用于求得参数和联合协方差矩阵的最佳拟合值，这些在本论文中都作了相应的介绍。

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Firstly, basing on the analysis of the statistical structure and Bayes' theorem, the posterior distribution of parameters is inferred.

首先，分析了模型的统计结构，并利用贝叶斯定理推断模型参数的完全条件后验分布。

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A method for estimating average level sPacing from a set of resolved resonance parameters by using Bayesian approach is given.

用贝叶斯定理从可分辨共振参数估算平均能级间距。

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The research of the real-word errors check mainly depends on some specific confusion sets and as well as Bayes theorem.

真词错误检查主要是利用贝叶斯定理，并通过建立一些特定的混淆集的方法来实现。

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Statistical inversion of seafloor parameters based on Bayesian inference is an interesting topic in the research of underwater acoustics.

基于贝叶斯定理的海底参数统计反演是当前水声学研究的热点之一。

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In the Bayesian method, the unknown parameters in the fatigue model are considered as random variables.

将疲劳模型中的未知参数作为随机变量处理，利用贝叶斯定理求出参数的后验分布密度；

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The application of Bayesian theory conquers the difficulty of introducing prior information in classical estimation.

贝叶斯定理的应用，克服了经典估计无法引入先验信息的困难。

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Personalized Medical Web-site Based on Bayes theorem

基于贝叶斯定理的个性化体检网站的研究

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The thesis discuss the application of Bayes Theorem and its generalization on construction project.

本文探讨了贝叶斯定理及其推广在工程建设项目中的应用。

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We use Bayes' theorem to distinguish between these moving and stationary behaviors.

采用贝叶斯定理来初步区分静止和移动行为。

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The marginal posterior distribution of the parameter in the ARFIMA models is presented by Bayes theorem and the mode of the marginal posterior distribution is choosed as the estimator.

首先根据贝叶斯定理得到ARFIMA模型参数的后验边缘分布，并选择后验边缘分布的众数作为参数的估计值。

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In this paper, an text classification model based on bayes theorem called stump network is introduced.

介绍了一种基于贝叶斯定理的文本分类模型树桩网络（stump network）。

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Firstly, the spectrum data is processed by principal component analysis ( PCA), then, an estimating model based on a Gaussian kernel function is set up using the PCA data and their temperatures.

首先对历史光谱数据进行主成分分析（PCA）处理，再根据PCA特征数据与其表面温度的对应关系建立温度的估计模型，该模型是基于高斯核函数的。

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In this study, prime component analysis was used to get an object meat quality index ( MQI).

应用主成分分析法，通过综合所选定的各项肉质指标的成绩，得到一个客观的量化指标&肉质指数（MQI）。

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Analyze the application of kernel function in SVM including support vector regression ( SVR), kernel time series prediction and kernel principal component analysis ( KPCA) comprehensive evaluation model.

就SVM的核方法在经济预警系统中的应用进行了分析，包括支持向量回归、支持向量时间序列预测方法和核主成分分析（KPCA）多指标综合评价方法，并给出了数据实验。

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An algorithm for color calibration was proposed by integrating an ANFIS ( adaptive-network-based fuzzy inference system) with KPCA ( kernel principal component analysis).

提出结合核主成分分析（KPCA）和自适应神经模糊推理系统（ANFIS）的色彩校正（KPCA ANFIS）算法。

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Principal Component Analysis the Effect of Treatments with HNO_2 on the Main Character of Pepper Germinating and Seedling Growing

HNO2处理对辣椒发芽及苗期主要性状影响的主成分分析

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One way to improve the robustness of principal component analysis ( PCA) is studied in order to increase the accuracy of feature extraction based on PCA in engineering image recognition.

为提高工程图识别中基于主成分分析（PCA）的特征提取的精度，讨论了PCA鲁棒性问题的两种提法。

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In the third section, gives a method to decide parameters based on Concurrent Function Deployment ( CFD) and Principal Component Analysis ( PCA) when studying the cost estimation research front& getting product main characteristics.

接着，本文对产品主要特征属性获取这一成本估算的前端进行了研究，提出了基于并行功能展开（Concurrent Function Deployment，CFD）与主成分分析的参数获取方法。

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And using Locality Preserving Projections ( LPP) algorithm and classical Principal Component Analysis ( PCA) algorithm extract feature in 3D face depth image.

采用了局部保持投影（LPP）算法和经典的主成分分析（PCA）算法对三维人脸深度图像进行特征提取。

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