1) inference on Bayesian network
Bayes网推理
2) Bayes consequence
Bayes统计推理
3) Bayes uncertain reasoning
Bayes不确定性推理
1.
The paper firstly introduces the Bayes uncertain reasoning model,then discusses the risk of equipment acquisition.
介绍了Bayes不确定性推理方法,论述了装备采办所面临的风险,给出了一般的风险分析计算公式;利用Bayes不确定性推理方法对主观概率进行修正,结合装备采办的实际情况,建立了证据确定时的风险分析模型和证据不确定时的风险分析模型;利用信息传递熵和规则强度风险代价的概念对规则信息的可靠性进行了评价,通过某具体示例风险分析结果的对比,说明了该方法的实用性和有效性,为科学、合理地分析装备采办风险提供了新的思路和途径。
4) bayesian network
Bayes网
1.
Bayesian network is a powerful tool for solving this problem,which exhibits strong adapt-ability in dealing with problems inv.
Bayes网提供了解决这一问题的有力工具,论文就利用多重马尔可夫Bayes网建立起基于Bayes网的软件失效预测模型,并对此进行了详细的分析,给出了模型的求解步骤。
5) bayesian inference
Bayes推断
1.
With the observations of the sensors distributed over the urban areas and the concentrations predicted by an atmospheric dispersion model,a likelihood function was assigned,with which Markov chain Monte Carlo(MCMC)sampling based on Bayesian inference was used to invert the parameters,including the source location and the dispersion strength.
利用基于Bayes推断理论的MCMC(Markov chain Monte Carlo)抽样方法,根据城市中分布的传感器测量信息和气体扩散数值计算模型,构造似然函数,对泄漏源的位置、强度进行反演。
6) Bayes inference
Bayes推断
1.
Grey congregation to monitoring information of customer service is analyzed, then the model of Bayes inference is established.
对客户服务监控信息进行灰色聚类分析,使得客户满意程度的灰色信息明确化,继而建立Bayes推断分析模型,在考虑决策成本的前提下,根据客户服务监控信息对配送作业作出决策。
2.
This paper presents hyper inverse Γ-distribution in order to perform Bayes inference from decomposable Gaussian graphical models.
关于可分图模型的Bayes推断,本文提出了超逆Γ分布,它可以作为可分的Gaussian图模型中协方差阵的共轭先验分布。
补充资料：演绎推理(见推理)
演绎推理(见推理)
deductive inference
住理。yanyl tullj演绎推理(deduetive infer。二ee)见
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条