Bayes theorem

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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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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Bayes theorem is a effective method of classification in data mining through examples.

通过实例说明Bayes定理是数据挖掘中一种有效的数据分类方法。

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ETDS is based on Bayes theorem, and uses the capability of SLM in interconnection, storage and mutiplication to realize real time system.

ETDS是基于贝叶斯（Bayes）概率理论，利用空间光调制器的并行乘、存储、互连等特点实现实时决策系统。

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Investigates a method of classification rule with Bayes theorem. We can found classification rules using Bayes theorem, then use the classification rules to classify new data set.

研究了利用Bayes定理发现分类规则的方法，用Bayes定理可以发现分类规则，然后用分类规则进行数据分类。

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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 Bayes Risk Theorem is also deduced, the genuine application value is pointed out. In addition, the calculation of the real mean risk value, the mean test number and prior probability P_H_0 are discussed.

另外还讨论了Bayes截尾SPRT方案的平均风险实际值、平均试验数及验前概率P（H0）的计算。

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After analyzing several theory models of inductive reasoning, we use the Bayes Theorem to prove the premise probability principle, and integrate this theory with human mental process.

在分析多个理论模型的基础上，采用贝叶斯定理证明了前提概率原则，并将此原则与人类心理过程相结合，将归纳推理分解为连续进行的三步过程。

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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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Owing to the fact that continuous outliers may occur in noise measurement, a posteriori probability formula used to discriminate continuous outliers, using Bayes theorem, is derived and the robust Kalman filtering insensitive to the above outliers is presented.

针对量测噪声中可能出现成片连续野值的情况，利用Bayes定理，得到了判别成片连续野值的后验概率公式，并提出了对上述野值不敏感的鲁棒Kalman滤波。

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The main theories of Bayesian classification are discussed, including Bayes Theorem 、 Na? ve Bayesian classification and Bayesian Networks classification.

讨论了贝叶斯分类的主要内容，包括贝叶斯定理以及朴素贝叶斯分类和贝叶斯网络分类。

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According to Bayes theorem, a new method can be got in data diagnosis-grading method.

根据贝叶斯定理, 给出数值诊断的一种新方法 —— 评分法.

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Bayse classify is a statistical method based on Bayes theorem, which uses prior probability and sample information to calculate the posterior probability.

贝叶斯分类是一种基于贝叶斯定理的统计学分类方法，它是结合先验信息与样本信息计算出后验概率。

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Investigation on Restoration Method for Turbulence-degraded Image Using Bayes Theorem

基于贝叶斯理论的湍流退化图像复原方法研究

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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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Based on the Bayes theorem we can calculate the expected future purchase frequency and average monetary value in a given customers' fast purchase behavior, and the customer's future economic value is the multiplication of these two expected values.

基于贝叶斯原理，在给定过去购买行为条件下我们可以计算顾客未来购买次数和平均购买金额的期望值，顾客的未来经济价值就是这两个期望值的乘积。

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Joint Probability, Conditional Probability, Prior& Posterior Probabilities, Bayes Theorem.

联合机率，条件机率，前后机率，贝氏定理。

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An Investigation of Classfication Rule Based on Bayes Theorem

基于Bayes定理的分类规则研究

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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.

在专家系统中，概率一般解释为专家对证据和规则的主观信任度，在概率推理中起着支撑作用的是贝叶斯定理。

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The Classification and Prediction Based on Bayes Theorem

基于贝叶斯方法的分类预测

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Finally, prior distribution of system reliability is updated with system reliability information according to Bayes theorem to obtain posterior distribution of system distribution on which is based to evaluate system reliability.

最后根据Bayes定理，利用系统可靠性试验信息来更新系统可靠性的验前分布得到系统可靠性的验后分布，依据此验后分布对系统可靠性进行评估。

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The Bayesian classification was systematically studied, first some of the relevant knowledge of probability theory was introduced, and the Bayes theorem was described, and then Bayesian classification algorithms, Bayesian networks, and weighted naive Bayesian classification were introduced. 3.

系统地研究贝叶斯分类，首先介绍相关概率论的一些知识，描述贝叶斯定理，然后介绍朴素贝叶斯分类算法、贝叶斯网络以及加权朴素贝叶斯分类。

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The method based on Bayes theorem can incorporate probabilistic constraints with the likelihood function, the three-term inversion can be constrained so as to give stable estimates, but with minimal bias.

贝叶斯的方法可结合似然函数及先验随机约束信息，提高三参数反演问题的稳定性。

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A system reliability demonstration method based on Bayes theorem

应用贝叶斯方法进行系统可靠性验证

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