BAYESIAN INFERENCE

  • 网络贝叶斯推理;贝叶斯推断
BAYESIAN INFERENCEBAYESIAN INFERENCE
  1. A Bayesian inference of measurement data of simple signal in dynamic measurement

    动态测试中单次性信号测试数据的贝叶斯推断

  2. Study on measuring model of operational risk applying Bayesian inference

    基于贝叶斯推断的操作风险度量模型研究

  3. Method of Analysis of System Reliability with Bayesian Inference

    用贝叶斯统计推断进行系统可靠性分析的方法

  4. Maximum Power Analysis Based on Bayesian Inference and Vector Compression Techniques

    基于贝叶斯推理和向量压缩技术的最大功耗分析

  5. Bayesian inference and model selection method for software reliability growth models are studied .

    研究了软件可信成长模型的bayesian推论和模型选择方法。

  6. Image Restoration : Model , Bayesian Inference and Iteration Algorithms Research

    图像复原&模型、贝叶斯推理及迭代算法研究

  7. Proposed an algorithm using Bayesian inference - Pearls sampling method .

    提出一种利用贝叶斯推理的算法-Pearls采样法。

  8. Bayesian Inference with Missing Data Imputation adjustment method for missing data

    数据缺失条件下的贝叶斯推断方法缺失数据的插补调整

  9. Bayesian Inference for the Loss and Risk Function of Parameter Estimators

    参数估计的损失与风险的贝叶斯推断

  10. The neural inference model perform Bayesian inference based on belief propagation algorithm .

    神经视觉推断模型的贝叶斯推断的计算原理是基于信任传递算法。

  11. Research on Change-Points in Shanghai Composite Index Based on Bayesian Inference

    基于贝叶斯推断的上证指数突变点研究

  12. With the development of computer theory , Bayesian inference method has been widely used in many areas .

    后随着计算机理论的不断发展,贝叶斯推断方法得到了广泛的应用。

  13. And what it means is we really are Bayesian inference machines .

    真的在遵循这样的模式,所以我刚才才举了这个例子。这说明我们实际上都是天生的贝叶斯推断器。

  14. Bayesian Inference Based on Global Message Propagation

    基于全局消息传播的贝叶斯推理

  15. Path-Planning Research Based on Bayesian Inference and Ant Colony Algorithm for Simulated Aircraft

    基于贝叶斯推理与蚁群算法的仿真飞行器航迹规划研究

  16. Negative binomial distribution is used commonly to model count data , especially in Bayesian inference .

    负二项分布在统计学中有着广泛的应用,被普遍应用于点计数据以及贝叶斯推断中。

  17. Bayesian inference for stochastic epidemic model with varied latent periods

    潜伏期变化的随机流行病模型及其贝叶斯推断

  18. Strategies to solve the problems of Bayesian inference by subjects in different grades were significantly different .

    不同年级被试解决贝叶斯推理问题的策略存在显著差异。

  19. Target Tracking Based on Bayesian Inference

    基于贝叶斯推理的目标跟踪

  20. Bayesian inference for general order statistics models in software reliability with diffuse information and model selection method are studied .

    对一般顺序统计量模型依实行了bayesian总体参数的推断,还实行了有效的模型选择方法。

  21. Particle filter is a new real time inference algorithm , which is based on Bayesian inference and Monte Carlo method .

    粒子滤波器算法是一种基于贝叶斯推理和蒙特卡罗方法的非线性、非高斯动态系统的实时推理算法。

  22. And the key idea to Bayesian inference is you have two sources of information from which to make your inference .

    然后注意,贝叶斯推断的重点是我们靠两个信息源来做出推断。

  23. The difficulty of subjectivity lies in the problem of constraint of prior probability in Bayesian inference mechanism .

    对贝叶斯主义的主观性诘难,主要在于贝叶斯推理机制的先验概率的约束问题。

  24. The result shows that likelihood ratio tests and Bayesian inference are powerful tools in the study of molecular phylogeny .

    结果表明,似然比检验和贝叶斯推论是分子系统学研究的强有力工具。

  25. In the traditional Bayesian inference method , there is a common agreement that all data sets should be on the same site .

    传统的贝叶斯推理方法,也是在默认所有的数据集在同一个站点上时进行的。

  26. Three experiments were conducted to explore the effects of question form , information structure , and assistant figure on the Bayesian inference .

    通过三个实验分别考察问题形式(一步问题,两步问题)、信息结构(分割结构,未分割结构)和辅助图形表征(条形图、饼图、结构图)对解决贝叶斯推理问题的影响。

  27. Problem of Bayesian inference was solved by the Bayesian strategy , non-Bayesian strategies and other strategies .

    被试在解决贝叶斯推理问题时,会使用贝叶斯策略、非贝叶斯策略和其他策略。

  28. Both likelihood ratio tests and Bayesian inference are employed to study the phylogeny of Phasianidae .

    应用似然比检验和贝叶斯推论进行雉科分子系统学研究。

  29. Statistical inversion of seafloor parameters based on Bayesian inference is an interesting topic in the research of underwater acoustics .

    基于贝叶斯定理的海底参数统计反演是当前水声学研究的热点之一。

  30. The most common statistical approach is called bayesian inference and is explained in detail in another IBM developerWorks article ( see Resources ) .

    最常见的统计方式称为贝叶斯推理,更详细的内容,可以参阅IBMdeveloperWorks的另一篇文章(参见参考资料)。