贝叶斯

Extended Kalman filter is based on first-order Taylor expansion,for which reason,it introduces too much error.

该文首先介绍了作为粒子滤波理论基础的递推贝叶斯估计的基本概念，说明了重要性函数对于粒子滤波器的设计是至关重要的。

Based on the Bayesian networks for textural document retrieving, we set up a novel image retrieval model.

摘要本文基于贝叶斯网络的文本检索思想，提出了一种图像检索模型。

Second, the Bayesian topological structure is studied.

其次研究了贝叶斯网络的拓扑结构问题。

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。

On the other hand, the more important thing is because the urban housing is a kind of heterogeneity products.

另一方面，更重要的是由于城市住房是一种异质性产品。

Climate histogram is the fall that collects place measure calm value, cent serves as cross axle for a few equal interval, the area that the frequency that the value appears according to place is accumulated and becomes will be determined inside each interval, discharge the graph that rise with post, also be called histogram.

气候直方图是将所收集的降水量测定值，分为几个相等的区间作为横轴，并将各区间内所测定值依所出现的次数累积而成的面积，用柱子排起来的图形，也叫做柱状图。