先进的贝叶斯分析用于检测方程。
你应该拥抱贝叶斯分析方法。
高级主题，时贝叶斯分析，非参数方法。
Advanced Topics, Time Permitting Bayesian Analysis, Nonparametric Methods.
最后，对长记忆时间序列arfima模型进行了贝叶斯分析。
Finally, we give Bayesian analysis of the long memory time series ARFIMA model.
在此基础上提出了一个基于扩展型贝叶斯分析的实时恢复算法。
Secondly, a distributed systems tasks failure recovery model is presented based on microreboot.
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.
与较早的研究不同的是，格列格雷运用了统计学的一种方法——贝叶斯过滤分析法。
Unlike earlier studies, Gregory used a branch of statistics called Bayesian analysis.
贝叶斯网络用因果关系图的形式表达变量间相互关系，实现复杂系统的故障模式和效应分析。
Variable correlation is expressed with consequence graph in Bayesian Networks (BN), analysis of failure mode and effect of complex system is realized.
根据统计分析和贝叶斯估计结果，建议了强度等级为C20和C30再生混凝土抗压强度的标准值与标准差的取值。
Based on the results of Bayes estimations, the standard deviations for the compressive strength of RAC with strength grades of C20 and C30 were proposed.
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.
最后给出了用于时间序列分析的动态贝叶斯网络的实例。
In the last, we give an example of dynamical Bayesian networks for time series data analysis.
论文提出了一种基于贝叶斯网络的软件项目风险分析过程。
A software project risk analysis process based on Bayesian networks is presented in this paper.
本文在分析了多种贝叶斯网络结构学习算法的基础上，并且根据水电仿真的应用背景，提出了一种根据多专家提供的规则库进行贝叶斯网络结构学习的新算法。
The Thesis analyses many kinds of Algorithm about Bayesian network structure learning, and then Setting-up a new Algorithm about structure learning Foundation on hydro-electrical simulation system.
本文通过分析超媒体系统中的不确定性因素，引入了贝叶斯网络方法。
Beginning with the analysis of the Uncertainty in hypermedia system, the paper introduces the Bayesian networks.
在大规模基因表达谱的数据分析中引入了一种全新的基于贝叶斯模型的聚类算法。
A novel clustering algorithm based on Bayesian model was introduced into the analysis of large-scale gene expression profiles.
提出了一种基于离散时间贝叶斯网络的动态故障树分析方法。
A new dynamic fault tree analysis method based on discrete-time Bayesian networks is proposed.
探讨了贝叶斯理论在水文频率分析计算中的应用。
The application of Bayesian theory to hydrological frequency analysis is investigated in this study.
其次，分析了人工免疫系统和贝叶斯网络的基本原理。
Secondly, the paper analyses the basic principle AIS and Bayes network.
针对多态系统故障树分析的难点，通过一个多态雷达系统的实例给出了一种基于贝叶斯网络的多态故障树分析方法。
Due to the difficulty of multi-state fault tree analysis, a new method based on Bayesian networks is proposed by means of an example of multi-state radar system.
为改善周期精确级功耗分析的准确度和速度问题，使用多维特征参数建立贝叶斯推理的动态功耗模型。
To improve the accuracy and speed in cycle-accurate power estimation, this paper USES multiple dimensional coefficients to build a Bayesian inference dynamic power model.
数控车床；智能故障诊断；贝叶斯网络；振动分析。
CNC lathe; intelligent fault-diagnosis; Bayesian Network; vibration analysis.
采用文献综述的方法，从问题内容、信息格式，信息呈现方式等方面对贝叶斯推理的影响因素进行了分析和探讨。
Based on literature review, the essay analyzed and explored the influencing factors of Bayesian reasoning from the perspectives of information content, information format and information presentation.
讨论了舰船材料疲劳统计分析中的贝叶斯方法。
In this paper, Bayesian method for statistical analysis of fatigue data for Marine materials is discussed.
为了分析匹配于进化种群的贝叶斯网络结构，给出了用于刻画局部贝叶斯网络度量的有关表示。
To analyze the structure of Bayesian networks to match the evolutionary population, this paper introduces some definitions of the local Bayesian network's metric.
通过实证分析证明了，运用贝叶斯方法比传统的频率统计的方法计算出的过程能力指数值更加能真正反映生产实际情况。
It showed through. using Bayesian methods than traditional frequentist statistical methods of calculation of process capability index can reflected the actual productions situation. more truly.
研究了人脸检测的贝叶斯特征判别法，该方法包括三个部分：原始图像的特征判别分析、人脸区和其它区的统计建模以及贝叶斯分类器。
The main idea of which consists of three parts: the discriminating feature analysis of the images, the statistical modeling of face and non-face classes, and the Bayes classifier for face detection.
最常使用的五个模型是石油期货价格、回归结构模型、时间序列分析、贝叶斯自回归模型和动态随机一般均衡图。
The five models used most often are oil futures prices, regression-based structural models, time-series analysis, Bayesian autoregressive models and dynamic stochastic general equilibrium graphs.
最常使用的五个模型是石油期货价格、回归结构模型、时间序列分析、贝叶斯自回归模型和动态随机一般均衡图。
The five models used most often are oil futures prices, regression-based structural models, time-series analysis, Bayesian autoregressive models and dynamic stochastic general equilibrium graphs.
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