Bayesian methods are those that are explicitly apply Bayes' Theorem for problems such as classification and regression.
贝叶斯方法是那些明确地在分类和回归问题中应用贝叶斯定理的算法。
Statistical computer programs use Bayesian methods to calculate the probability of the impact of certain predicted events on oil.
统计计算机程序使用贝叶斯模型计算某些已经预测事件对石油的影响。
The previous record of the spoil number of spare parts is used in Bayesian methods to predict the demand of spare parts in the future time.
利用以往记录的该备件在设备中的损耗量数据，采用贝叶斯方法对备件在未来时间段里的需求量进行预测。
This paper explores the potential of Bayesian methods based on prior knowledge and its advantages in engine Research and Development testing.
本文探讨了基于先验知识的贝叶斯实验设计方法在发动机实验应用中的可能性及其优势。
Classical methods are narrow, testing only a single hypothesis, but Bayesian methods can evaluate a whole set of scenarios and figure out which is the most likely.
传统方法的适用范围计较狭窄，只能检测一种假说，但是贝叶斯过滤法可以同时检测一系列假说，并找出可能性最大的一个。
This paper introduces an advanced random response model in sensitive question, and uses Bayesian methods in valuing the parameter, and finally obtains the parameter approximation.
文章介绍了一种改进的敏感性问题随机化回答模型，并把贝叶斯方法用于该模型的参数估计，最后得出了参数的近似解。
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.
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。
This approach is superior to the apparently "complex" methods such as Bayesian networks or neural networks.
这种方式倾向于 “复杂的”方法，比如Bayesian网络或神经网络。
The method relies on active perturbation to the system to obtain prior knowledge for building the model, and then constructs the dependency model based on the methods of building Bayesian networks.
这个方法通过对系统进行主动干扰来获得建模的先验知识，然后基于贝叶斯网络构造方法，对分布式应用的组件间关系建立依赖性模型。
There has been disputed about the basic theory and methods in statistics between Bayesian School and Classic statistics School.
贝叶斯学派和古典统计学派在统计的基础理论和方法上一直存在争议。
The proposed computation models will supply new local computation methods for Bayesian network probabilistic inferences.
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 results of computer simulation show that Bayesian high-resolution method has better performance than other methods in both uniform linear array and circular array.
本文研究了利用贝叶斯高分辨方法解决相干源的问题，分别对均匀线列阵和圆形阵中的相干源问题进行了计算机仿真，并将贝叶斯方法和其它方法进行比较。
Bayesian network classifier is one of the main research methods in data mining and KDD domain.
贝叶斯网络分类器是数据挖掘与知识发现领域研究的主要方法之一。
Univariate forecasting methods are still used far more in practice, such as Fractional Differencing models, Structural models and Bayesian forecasting methods.
单变量方法在实际中使用最多，主要涉及分数差分模型、结构模型、贝叶斯预测方法。
Current remote sensing image classification models and algorithms commonly used statistical methods, neural networks, Bayesian and so on.
目前遥感影像分类的常用模型和算法有统计学方法、神经网络、贝叶斯等。
Two different global localization methods based on Bayesian estimation theory are mainly investigated in the paper.
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。
And then this thesis summarized the parameter estimation methods of the quantile regression models including Bayesian analysis, and introduced the calculation and evaluation methods of VaR in detail.
然后总结了分位回归模型的参数估计方法和贝叶斯理论分析，并详细归纳了风险价值的计算方法、评价方法。
Finally, taking ADRT as the application object, using the integrated inference technology of rule diagnosis and Bayesian Network diagnosis methods, we develop the intelligent fault diagnosis system.
最后，以自动门为应用对象，采用规则诊断与贝叶斯诊断集成推理技术，开发了自动门智能故障诊断系统。
Methods of GM(1,1) gray prediction, Bayesian and antecedence index were employed.
研究方法：GM（1，1）模型、贝叶斯方法及先行指标法。
Advanced Topics, Time Permitting Bayesian Analysis, Nonparametric Methods.
高级主题，时贝叶斯分析，非参数方法。
Methods age cohort models was used to fit data of twenty five years PLC incidence in Qidong to estimate parameters for birth cohort and age effect by means of Bayesian graphical modeling.
方法利用贝叶斯图解模型和年龄队列模型对肝癌发病的年龄、出生队列效应的参数进行估计。
The new method and original Bayesian high-resolution DOA estimator are compared with other typical methods like MUSIC and MLE, and the superiority of the new method is revealed.
进行了新方法、原贝叶斯高分辨方位估计方法与多重信号特征法（MUSIC）和极大似然估计法（MLE）的性能比较研究，揭示了新方法的优越性。
This paper studies Bayesian neural network in power load forecasting, load forecasting power of the basic concepts and methods.
本文主要研究贝叶斯神经网络在电力负荷预测中的利用，论述了电力负荷预测的根本概念和措施。
Parameter study of Bayesian network is investigated. According to the methods of example statistics and correlation analysis, Bayesian diagnosis model of body deviation is established.
对贝叶斯网络的参数学习进行了探讨，结合实例统计和相关性分析建立了车身偏差诊断的贝叶斯网络模型。
Methods The data on 343 kinds of infectious disease symptoms, signs were collected and Bayesian classification model was constructed.
方法收集343种传染病症状、体征数据，运用贝叶斯算法建立分类模型。
Methods The data on 343 kinds of infectious disease symptoms, signs were collected and Bayesian classification model was constructed.
方法收集343种传染病症状、体征数据，运用贝叶斯算法建立分类模型。
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