bayesian approach中文是什么意思

• bayes氏方法
• 贝斯分析法

• approach    vt. 1.向…接近，走近；使接近。 2.探讨；看待，对 ...
• bayesian    贝叶斯的; 贝叶斯定理的
• bayes bayesian    贝叶斯定理的
• bayesian algorithm    贝叶斯算法
• bayesian analysis    贝叶斯分析
• bayesian classification    贝叶斯分类器
• bayesian classifier    贝叶斯分类器
• bayesian estimate    贝叶斯估计
• bayesian estimation    贝叶斯估计
• bayesian formula    式方程式
• bayesian inference    贝叶斯定理; 贝叶斯推断; 贝叶斯推理; 贝叶斯推论
• bayesian learning    贝式学习
• bayesian logic    贝叶斯逻辑
• bayesian models    贝式模型法
• bayesian network    贝式网路; 贝式网络; 贝叶斯网络
• bayesian networks    贝叶斯网络
• bayesian probability    贝叶斯概率
• bayesian regression    贝叶斯回归
• bayesian statistic    贝叶斯统计
• bayesian statistics    贝式统计学; 贝叶斯统计:一种尚有某些争论的统计方法学
• bayesian theorem    贝叶斯定理
• bayesian theory    贝叶斯理论
• approach of    驶近
• approach to    接近；几乎等于; 接近；近似，约等于; 接近；约等于; 接近于; 类似,办法,通道; 驶近; 通往...的方法；接近

• A bayesian approach to multiple fuzzy hypothesis testing
  多重模糊假设检验的贝叶斯方法
• L . observables , a general class of distributions , are to be predicted using the bayesian approach
  在type双删失数据场合下，利用贝叶斯方法对一类分布的未来观测值作出预测。
• A bayesian approach to digital matting . in proc . ieee conference on computer vision and pattern recognition 2001 , kauai , hi , usa , dec . 2001 , pp . 264 - 271
  尽管光滑图像的抠图问题已经得到了广泛的研究，研究人员也提出了各种各样有效的光滑图像抠图方法。
• In this paper , we develop a single - product and single - period model ( a newsboy model ) with bayesian approach to study how the decision - maker in a seasonal goods production system to determine the production quantity and budget invested in demand forecasting
  本文经由模型推导，探讨使用贝氏估计法之单期季节性商品生?系统（报童问题）应如何订定生?计划及需求预测投资预算。
• First , this paper investigates traditional method and bayesian approach of the assessment of system reliability , including the equivalent method of complicated system , the reliability assessment of multiple components , prior information conversion
  首先，本文研究了了可靠性评估的经典方法和bayes方法，包括复杂系统的可靠性等效方法，多种类型单元可靠性评估方法，验前信息的折合。
• The emphasis of bayesian approach is how to obtain and use the prior information , especially , the simulation information . the modeling methods and technical approach of creating the virtual samples are partly discussed and the methods of programming are given . it ' s very important for the prior information to have a consistence test
  Bayes方法重点是关于验前信息的获取和利用问题，尤其是对仿真信息的获取和利用，文中对仿真虚拟样本的建模方法和技术途径作了部分讨论，并给出软件实现的具体方法。
• On this basis a nonlinear filtering technique of sequential monte carlo particle filter based on bayesian approach is emphatically disussed which the posterior distribution of the state variables can be represented by a set of weighted particles , so the method base advantages over the above algorithms in robustness and accuracy for nonlinear non - gaussian filtering problems
  在此基础上重点论述了一种基于贝叶斯原理的序贯蒙特卡罗粒子滤波技术，该方法通过粒子的加权和表征后验概率密度，获得状态估值，在处理非线性非高斯系统的状态估计问题时精度逼近最优，鲁棒性更好。
• By introducing the two solutions , suggested by dorling and strevens respectively , to duhem ' s problem with bayesian approach , this paper aims to explain how duhem ' s problem is treated in bayesian framework , and make a comparison between the two solutions , with a conclusion that strevens ' solution is more rational and objective
  本文主要通过介绍多林与斯特雷文斯各自运用贝叶斯方法解决迪昂问题的两个方案，试图说明迪昂问题在贝叶斯机制中的处理方式，并且对这两个方案作出比较，认为斯特雷文斯的方案更为客观与合理。
• The thesis mainly recounts the detail questions about bayesian small sample theory and the important applications of the theory in engineering , and gives sufficient analyses and discussion of every step of accomplishing a precision evaluation when using small samples . in the thesis , the following issues are contained , such as how to get and denote the prior information , the consistence test of prior information and test samples of shooting range , the fusion of multi - source information , calculating of posterior probability , estimation with bayesian approach , how to constitute test evaluation project of different performance and calculate the risks of both sides are contained , and at last a kind of applied method to calculate the effectiveness is given
  论文主要叙述了有关bayes小样本理论的一些具体问题，以及该技术在工程中的一些关键应用，对小样本条件下精度鉴定的各个环节给予较充分的分析和讨论，其中包括验前信息的获取、表示，验前信息和靶场试验样本的一致性检验，多源信息的融合，验后概率的计算， bayes方法在估计中的应用，试验鉴定方案的制定，对不同战标的评估方法和风险的计算等，最后对作战效能的计算给出了一种工程中较实用的方法。