本文采用贝叶斯概率方法来处理EEW面对多个并发事件情况。
This paper USES a Bayesian probabilistic approach to handle multiple concurrent events for EEW.
文中侧重研究了两种以贝叶斯概率后验估计理论为基础的全局定位方法。
Two different global localization methods based on Bayesian estimation theory are mainly investigated in the paper.
文中采用统计学理论，利用贝叶斯概率公式计算视频语义出现的概率，选取概率最大的类别标注未标记的样本。
In the paper, we use the statistical theory to calculate the probability of video semantics by Bayesian formula, choose the semantic of maximal probability to label the unlabeled samples.
在控制系统中，将贝叶斯概率引入到模糊rbf神经网络中，增强了系统的推理能力，提高了飞机各个航道位置的模拟伺服精度。
In the control system, Bayes probability is introduced in the fuzzy RBF neural network and it intensity the inference ability and increase the servo precision.
在“APlanforSpam”（请参阅本文后面的 参考资料）中，Graham提议建立垃圾邮件和非垃圾邮件单词的贝叶斯概率模型。
In "A Plan for Spam" (see Resources later in this article), Graham suggested building Bayesian probability models of spam and non-spam words.
贝叶斯网络是在不确定性环境下有效的知识表示方式和概率推理模型，是一种流行的图形决策化分析工具。
Bayesian Networks is a model that efficiently represents knowledge and probabilistic inference and is a popular graphics decision-making analysis tool.
贝叶斯网络是数据采掘的一个非常有效的工具，它能够定性和定量地分析属性之间的依赖关系，进行概率推理。
Bayesian network as, a very useful tool in data mining, can provide qualitative and quantitative relationship between attributes and probability inference.
对全概率公式和贝叶斯公式，探讨了寻找完备事件组的两个常用方法。
This paper discusses two methods of complete event group for complete probability formular and Bayes formular.
基于贝叶斯理论，提出采用概率的方法来估计泊松曲线的参数。
Based on the Bayesian theory, a probability method was proposed to estimate the parameters of the Poisson curve.
根据动态联盟企业信息具有不确定性的特点，应用贝叶斯网络对企业的风险概率进行识别。
According to the uncertain characteristics of information in virtual enterprise, the Bayesian network is used to identify its risk probability.
所提出计算模型为贝叶斯网的概率推理提供了一种新的局部计算方法。
The proposed computation models will supply new local computation methods for Bayesian network probabilistic inferences.
对这些查询建立贝叶斯网络模型，通过模型推导出各个查询在当前文档集合下的概率公式。
Then a Bayesian network model is built for all these queries, and the probability formula of each structured query given the document collection is inferred in the model.
同时利用贝叶斯网络实现概率推理，便于描述故障特征的变化及对变压器故障原因的快速分析。
At the same time, probability reasoning can be realized by BN, which can be used to describe changes of fault symptoms and analyze fault reasons of transformer.
贝叶斯方式是依据新的信息从先验概率得到后验概率的一种方式。
Bayesian is one kind of method of posteriori probability obtained from priori probability according to new information.
针对模式分类中高置信度的先验概率分布难以设定的问题，提出了一种新的应用贝叶斯分析进行模式分类的方法。
To overcome the hardship of enacting the pre-probability distribution with high certainty factor, this paper proposes one novel way of applying Bayes analysis to classify pattern.
用贝叶斯推理问题为实验材料，探讨了主体关联性对贝叶斯推理概率估计的影响。
Bayesian tasks were used in the present study to explore the influence of subject relevancy on Bayesian reasoning.
当参数限制在某一范围内并服从一致的分布，且多余参数未知时，其贝叶斯置信区间有很高的置信概率。
The Bayesian credible intervals that arise when a parameter is given a uniform distribution over the restricted range and nuisance parameters are unknown have good frequentist coverage probabilities.
最近邻准则是一种次最优准则，当样本数目很大时，最近邻准则的错误率不会超过贝叶斯错误概率的2倍。
The misclassification probability of the nearest neighbor decision rule won't exceed 2 times of that of Bayes decision rule when the sample number is very large.
贝叶斯方法的特点是使用概率去表示所有形式的不确定性，学习或其他形式的推理都用概率规则来实现。
The characteristic of the Bayes method is to use probability to express the uncertainty of all forms, learning and the reasoning of other forms are all realized with the rule of probability.
根据有限的信息得到的后定概率的概念最初是贝叶斯创造的。
The origin of the concept of obtaining posterior probabilities with limited information is attributable to thomas bayes .
根据有限的信息得到的后定概率的原始概念是贝叶斯创造的。
The origin of the concept of obtaining posterior probabilities with limited information is attributable to Thomas Bayes.
根据有限的信息得到的后定概率的概念最初是贝叶斯创造的。
The origin of the concept of obtaining posterior probabilities with limited information is attributable to Thomas bayes.
在贝叶斯统计中计算一组竞争模型的后验概率及其相关贝叶斯因子一直是一个较难且有挑战性的课题。
Calculating posterior probabilities and related Bayes factors for a collection of competing models has been a difficult and challenging problem for Bayesian statisticians.
在会计决策分析中所采用的先验概率通常由会计人员的主观判断来确定，使用贝叶斯方法能够对其进行修正，使之更加符合实际。
The prior probability in accounting decision is usually determined by the subjective judgment of the accountant. It can be modified by using the Bayes's method in order to be close to fact.
依据这一模型，该方法使用贝叶斯理论和领域约束获得了区域和边界的最大后验概率估计。
The method is to derive the maximum a posteriori estimate of the regions and the boundaries by using Bayesian inference and neighborhood constraints based on Markov random fields(MRFs) models.
用图论的观点理解概率论中的乘法公式、全概率公式、贝叶斯公式，有效地解决了某些复杂的概率问题。
From the perspective of graph theory, understands multiplication formula, full probability formula, Bayes formula effectively solves some complicated probability problems.
依据这一模型，该方法使用贝叶斯理论和领域约束获得了区域和边界的量大后验概率估计。
The method is to derive the maximum a posteriori estimate of the regions and the boundaries by using Bayesian inference and neighborhood constraints based on Markov random fields (MRFs) models.
依据这一模型，该方法使用贝叶斯理论和领域约束获得了区域和边界的量大后验概率估计。
The method is to derive the maximum a posteriori estimate of the regions and the boundaries by using Bayesian inference and neighborhood constraints based on Markov random fields (MRFs) models.
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