贝叶

This paper proposed a Bayesian framework based algorithm which used the total variation model to describe the original image.

本文在贝叶斯框架下，基于总变分模型，建立原始图像和点扩散函数的先验模型，同步估计原始图像和点扩散函数。

The typical methods include Weighted mean, Bayes estimation, Dempster-Shafer evidence, Decision statistics model theory, Condition event algebra theory, Dynamic Kalman filter, Fuzzy logic theory, Neural network theory and Artificial intelligence technology.

近年来，国内外学者提出了许多对多传感器组合定位系统的数据融合方法，讨论较多的有加权平均法、贝叶斯估计法、Dempster-Shafer证据法、决策统计模型法、条件事件代数法、Kalman滤波、模糊数学、神经网络以及人工智能方法等。

UDI dataset is used to verify the validation of the ABC. Experimental results show that the ABC has higher classification accuracy, with 5％ average improvement, than the naive Bayes one has. Especially, for the dataset containing strong associated attributes, 37％ improvement in accuracy is obtained.

应用UDI数据集对分类器进行了测试，分类结果表明，ABC算法的分类准确率明显高于朴素贝叶斯分类算法，平均提高5％，特别是对属性间有着较强依赖关系的数据集，其分类准确率提高了37％。

Based on the evaluation principle of uncertainty in GUM (Guide to the Uncertainty in Measurement), the paper studies on the evaluation of uncertainty based on the Bayesian theory .

根据现在通常使用的《测量不确定度表示指南》的基本原理，本文以贝叶斯理论为基础，对测量不确定度的评定方法进行了研究。

The experimental results show that this presented model obtains better results than that of the Naive B Bayesian, the Random forest, and the NNge predietion models when the high and low severity faults and the ungraded severity fault are distinguished.

实验结果表明，与基于朴素贝叶斯的预测模型、随机预测模型和NNge预测模型相比，本文提出的预测模型对于高严重程度故障、低严重程度故障以及未划分故障严重程度的情形均获得较好的预测效果。

The first one is based on minimum cross entropy with the hypothesis of uniform or normal probability distribution.

这些算法与传统算法的不同主要在于：(1)基于规范的理论框架和一般性的分割准则，对问题的依赖性小；(2)采用贝叶斯后验概率计算交叉熵中的两种分布。

Bayesian logic offers a way to measure things that were previously unmeasurable, allowing us to test hypotheses and predictions and thereby refine our conclusions and decisions.

贝叶斯逻辑提供了一种方法，来测量过去不能测量的东西，让我们验证假设和预言，从而完善我们的结论和决策。

In this paper, a new method of learning Bayesian network structure with missing data is presented. First, unobserved data are randomly initialized.

针对这些问题，建立了一种新的具有丢失数据的贝叶斯网络结构学习方法。

Obtained some positive results in experiments. Success in learning and classsifying revealed information shows the effectiveness and valuableness of this algorithm.

实验结果显示，与基于互信息特征选取的分类算法MI 和朴素贝叶斯算法NB相比，LISC具有较高的分类性能。

Wishart distribution, classification theory, Bayesian inference, and the multivariate general linear model.

多元分析——理论：Wishart 分布，分类理论，贝叶斯推断，多元广义线性模型。

With Death guitarist Schuldiner adopting vocal duties, the band made a major impact on the scene.

随着死亡的吉他手Schuldiner接受主唱的职务，乐队在现实中树立了重要的影响。

But he could still end up breakfasting on Swiss-government issue muesli because all six are accused of nicking around 45 million pounds they should have paid to FIFA.

不过他最后仍有可能沦为瑞士政府&议事餐桌&上的一道早餐，因为这所有六个人都被指控把本应支付给国际足联的大约4500万英镑骗了个精光。