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bayes solution相关的网络例句

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与 bayes solution 相关的网络例句 [注:此内容来源于网络,仅供参考]

The simulated data of an oversaturated genetic model including 50 main effects and 50(50-1)/2=1225 epistatic effects were analyzed by E-bayes.

模拟研究。通过构建同时包括50个主效和50(50-1)/2=1225个上位性效应在内的超饱和遗传模型,采用E-bayes方法进行模拟研究。

Multivariate data ; parallel coordinates ; naive Bayes ; point scores

多元数据;平行坐标;简单贝叶斯;点得分

What more, we also use MCMC algorithm in order to calculate parametric Bayes estimation.

并且借助统计计算方法―MCMC算法来求解参数的Bayes估计,有效的将Bayes思想融入到了VaR的计算中。

On the other hand, genetic algorithm is used for feature optimization to obtain more accurate rates. Compared to the conventional Bayes classifier, SVMs produce more accurate recognition rates on the Ponce texture database. The error rate of experiments is less than 10%.

用包含有25类单色自然纹理的图像库进行识别试验,结果表明,该方法的识别错误率小于10%,得到了比传统的贝叶斯等方法更高的识别率和更好的推广性。

The general process for Bayes analysis is: prior distribution + data = posterior distribution.

Bayes分析的一般程序是先验分布+数据=后验分布。

Then give a conveniency and applied Bayes-information fusion method when prior information comes from different sources, and find the prior distribution and posterior distribution of the failure rate.

然后,在产品具有多源验前信息源的情况下,给出了一种方便实用的Bayes信息融合方法,充分融合各验前信息,得到产品失效率的验前分布及后验分布。

The research result could be used as prior distribution in Bayes approach to evaluate uncertainty in optical measurement with practical prospect.

研究结果可以作为贝叶斯统计中的数据先验分布,用于对一般测量进行贝叶斯方法的不确定度评定。

Second, we obtain the bayes estimators of the loss function and risk function based on the conjugate prior distribution for ...

其次在共轭先验分布下给出了Weibull分布参数估计的损失函数和风险函数的贝叶斯估计,并讨论了它们的保守性和合理性。

It is useful for getting the prior distribution from expert's opinion in reliability engineering when filed test data are small samplings and Bayes method is used.

论文的研究对于小子样条件下运用Bayes方法分析系统可靠性时,基于专家信息的验前分布确定具有重要的工程指导意义。

By constructing dynamic modeling methods, this paper solves the key problem of prior distribution establishment in RGTE when using Bayes method.

动态建模方法的提出,可以解决Bayes方法可靠性增长试验评定中先验分布确定的关键问题。

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