1)Bayesian theory贝叶斯理论
1.Application of Bayesian theory in multiband SAR images fusion for classification;贝叶斯理论在多波段SAR图像分类融合中的应用
2.Algorithm of image segmentation based on wavelet transform and Bayesian theory;基于小波变换和贝叶斯理论的图像分割算法
3.Evaluation of statistics of multiple defects in bored piles using Bayesian theory;基于贝叶斯理论的灌注桩多个缺陷统计特性分析
英文短句/例句
1.An optimization model of employee setup based on Bayes theory;基于贝叶斯理论的员工配置优化模型
2.Research on Portfolio Model Based on Bayesian Method基于贝叶斯理论的投资组合模型研究
3.Analysis of Construction Claims Based on Bayesian and Game Theory基于贝叶斯理论的工程索赔博弈分析
4.Study on command guidance decision based on Bayesian theory基于贝叶斯理论的指挥引导决策研究
5.Collaborative filtering recommendation algorithm based on Bayesian theory基于贝叶斯理论的协同过滤推荐算法
6.Blind separation of the mechanical fault sources based on bayesian theory基于贝叶斯理论的机械故障源盲分离
7.Study and Application of Bayesian Theory on Medicine Image Processing;贝叶斯理论在医学图像处理中的研究与应用
8.The Reliability Evaluation Methods of the Products of Electrical Engineering and the Applications of the Bayes Theory;电工产品可靠性评估方法与贝叶斯理论的应用
9.Study on the Evaluation of Uncertainty Based on Bayesian Theory;基于贝叶斯理论的不确定度评定方法研究
10.Research on Evaluation of Dynamic Measurement Uncertainty Based on Bayesian Theory;基于贝叶斯理论的动态不确定度评定方法研究
11.The Study on Enterprise s Compensation Incentive System;房地产投资风险决策中贝叶斯理论应用之探讨
12.Research on Risk Decision Making for Real Estate Investment Based on Bayes Decision Theory;基于贝叶斯理论的房地产投资风险决策研究
13.The Study on Enterprise's Compensation Incentive System房地产投资决策中贝叶斯理论的应用研究
14.Research and Implementation of Text Classification Technology Based on Bayesian Theory基于贝叶斯理论的文本分类技术的研究与实现
15.Research of Chinese Spam Filtering Algorithm Based on Bayes Theory基于贝叶斯理论的中文垃圾邮件过滤算法研究
16.Parameter Uncertainty Analysis on Hydrologic Frequency Models Based on Bayesian Theory基于贝叶斯理论的水文线型参数不确定性分析
17.Hydrological frequency analysis based on Bayesian theory基于贝叶斯理论的水文频率分析方法研究
18.1. Bayesian statistics theory: Expatiate the mathematic principle of Bayesian Networks, Bayesian statistics.1.贝叶斯统计理论:阐述贝叶斯网络的数学原理——贝叶斯统计。
相关短句/例句
Bayes theory贝叶斯理论
1.An optimization model of employee setup based on Bayes theory;基于贝叶斯理论的员工配置优化模型
2.Application of Data Mining with the Bayes Theory in Information of Universities;基于贝叶斯理论的数据挖掘在高校信息管理的应用研究
3.On the basis of Bayes theory and Fuzzy system theory, a new method on structural damage prediction of seismic disasters is established.运用贝叶斯理论与模糊理论 ,提出了一种对结构物震害预测的新方法 ,该方法较充分地考虑了结构物震害的一般统计特性和某一特定结构物的特殊性 ,能较全面地反映结构物震害的实际情况 。
3)Bayesian theorem贝叶斯理论
1.Bayesian theorem based on-line leakage detection and localization of municipal water supply network;基于贝叶斯理论的城市供水管网泄漏在线检测与定位
2.Three-parameter AVO waveform inversion based on Bayesian theorem;基于贝叶斯理论的AVO三参数波形反演
3.Simultaneous three-term AVO inversion based on Bayesian theorem;基于贝叶斯理论的振幅随偏移距变化三参数同步反演
4)bayesian贝叶斯理论
1.Test on a Weapon Spare Part Demand Model Based on Bayesian Theory基于贝叶斯理论的武器备件需求模型检验
2.Multiple classification methods are introduced and a Bayesian-based Compound Classification Method (BCCM) is presented, which makes prediction by combining the prediction of multiple classifiers according to their accuracy matrix.在研究分析多种适用于医学诊断的分类方法的基础上,论文提出基于贝叶斯理论的复合分类方法(Bayesian-based Compound Classification Method,BCCM),采用条件概率计算的方法组合多个分类器的诊断结果以提高分类准确率。
3.Research on the Urban Land Use Dynamic Change Simulation Based on Bayesian;本文提出基于贝叶斯理论的权重因子方法进行城市土地利用的动态变化模拟,为城市扩展模拟提供了新的思路。
5)Bayesian decision theory贝叶斯决策理论
1.Bayesian decision theory relevance feedback method based on minimum risk基于最小风险的贝叶斯决策理论相关反馈方法
2.Bayesian decision theory is a basic method of Statistical Pattern Recognition.贝叶斯决策理论是统计模式识别中的一个基本方法。
3.Bayesian decision theory as part of the modern inductive logic has had a great influence on the development of inductive logic.贝叶斯决策理论是主观贝叶斯派归纳理论的重要组成部分。
6)Bayesian filter theory贝叶斯滤波理论
1.To solve localization problems of autonomous robots,self-localization methods based on Bayesian filter theory are investigated.针对自主机器人定位问题,研究了基于贝叶斯滤波理论的自定位方法。
延伸阅读
贝叶斯公式贝叶斯公式为利用搜集到的信息对原有判断进行修正提供了有效手段。在采样之前,经济主体对各种假设有一个判断(先验概率),设为,{}。关于先验概率的分布,通常可根据经济主体的经验判断确定(当无任何信息时,一般假设各先验概率相同),较复杂精确的可利用包括最大熵技术或边际分布密度以及相互信息原理等方法来确定先验概率分布。当采样得到样本值后,当事人对各假设的判断(后验概率)为 ,= 1, 2, %26#8230;, (5.5) 在实际经济生活中,信息搜寻工作不是一次就完成的。当信息搜寻进行到某一阶段,设已进行了 次采样( =1,2,%26#8230;),此时经济主体对各假设的后验概率的认识为 =1, 2, %26#8230;, (5.6) 其中,表示在第次采样前对假设的判断,当 =1时即表示第一次采样前的先验概率,从而式(5.5)变成式(5.6)的一个特例,即,将其记为。
