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bayes模型
相关语句
  bayes model
     AN MIS DEVELOPING STRATEGY DECISION MODEL MULTI OBJECT BAYES MODEL FOR SMALL ENTERPRISES
     小型企业MIS开发方案决策模型──多目标Bayes模型
短句来源
     Results The levels of P21,P53,and HSP70 in LC group were higher than those in control group, P <0.01.The sensitivity,specificity and the pred icative rate of Bayes model were 73.33%,78.38% and 81.67% respectively.
     结果 与对照组比较 ,肺癌组P2 1、P5 3及HSP70蛋白水平均增高 ,差异具有显著性 (P <0 .0 1) ; Bayes模型的敏感性、特异性和准确率分别为 73 .3 3 %、78.3 8%和 81.67% ;
短句来源
     Conclusion Bayes model of GSH-PX,MDA, p21,p53 and HSP70 might be used as the screening of lung cancer and added to the diagnostic value of conventional cytology.
     结论GSHPX、MDA、p21、p53及HSP70蛋白联合检测建立的Bayes模型对肺癌筛检提供了一条新的方法,可补充细胞学的诊断价值。
短句来源
     Conclusions Bayes model of P21,P53 and HSP70 may be used as the screening marker for diagnosis of lung cancer,and may supplement the diagnostic value of conventional cytology.
     结论 P2 1、P5 3及HSP70蛋白联合检测建立的Bayes模型是一种新的诊断肺癌的方法 ,可补充细胞学的诊断价值。
短句来源
     Objective To explore the screening of lung cancer with Bayes model of GSH-PX,MDA and oncogene proteins.
     目的探讨血浆中GSH-PX、MDA、p21、p53及HSP70蛋白实测值建立的Bayes模型对肺癌的筛检价值。
短句来源
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  bayesian model
     The results from this study area show the fitness of factor model and the Bayesian model are 80.33% and 80.61%, respectively. The latter of actual landslide occurrence has increased about 7%, which can be employed in the regional slope stability probability evaluation.
     结果表明,在研究区内,因子模型的拟合度为80.33%,Bayes模型的拟合度为80.61%,后者得出的滑坡发生样本的判对率比前者提高了约7%,说明Bayes模型可用于区域斜坡稳定性概率评价。
短句来源
     The example shows that the parameters of the Bayesian model have apparent meaning and are convenient to use for engineering applications.
     算例表明这种Bayes模型参数含义清楚,利于工程应用.
短句来源
     At first, credible Bayesian model is defined, its rationality is analyzed and it is applied into multistage weapon system appraisal.
     首先,定义了可信性Bayes模型,分析了它的合理性,并把它应用到多阶段武器试验鉴定中。
短句来源
     We mainly discuss three types of inpainting models: the Bayesian model, geometric models and PDE models with emphasis on investigating TV inpainting, elastica inpainting and Mumford- Shah inpainting of PDE models. After studying the level set method and its applications to image processing, we concentrate on discussing the inpainting model of Mumford- Shah-Euler.
     主要讨论数字图像修复的三类模型:Bayes模型,几何模型和PDE模型,着重研究了PDE模型中的TV修复、弹性修复和Mumford-Shah修复。
短句来源
     The basic theory of statistical system identification approach (Bayesian model updating and stochastic finite element model updating), statistical pattern recognition approach and probabilistic neural network approach is introduced, and the statistical identification for structural health diagnosis in civil engineering is discussed comprehensively. The critical issues and recommended area of future research are presented.
     对统计识别中的统计系统识别方法(Bayes模型修正、随机有限元模型修正)、统计模式识别方法和概率神经网络方法的基本理论及其在土木工程结构健康诊断中的研究现状进行了论述,在此基础上提出了土木工程结构健康诊断中统计识别方法需要解决的关键问题和研究发展方向。
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  “bayes模型”译为未确定词的双语例句
     Bayes Prediction Model for Short-Term Loan Default
     企业短期贷款违约预测Bayes模型构建
短句来源
     In 18 cases of LC whose cytology was false negative,13(72.22%) were found positive with the model.
     18例细胞学阴性肺癌患者Bayes模型判定阳性 13例 ( 72 .2 2 % )。
短句来源
     Case-Based Reasoning Based on Naive-Bayes
     Naive-Bayes模型及其在范例推理中的应用
短句来源
     (3) Based on the virtue of the RBF change, the RBF-PLS-Bayes model is put forward which combines RBF change and PLSR with the Bayes Discrimination. By applying the model to chemical pattern classification, we got a satisfying result.
     (3)针对RBF网络中RBF变换的优点,提出了一种极成RBF变换、PLSR和Bayes判别的RBF-PLS-Bayes模型,将这种模型用于化学模式分类中,取得了较好的效果。
短句来源
     CONCLUSION Estimation of Bayesian Meta analysis models are more reliable.
     结论  Meta分析的 Bayes模型充分考虑了模型的不确定性 ,估计更可靠 ,更合理 .
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  bayes model
A Bayesian shrinkage estimate for the mean in the generalized linear empirical Bayes model is proposed.
      
The posterior mean under the empirical Bayes model has a shrinkage pattern.
      
In this article, a hierarchical Bayes model is used to estimate hunting success rates at the sub-area level from post-season harvest surveys.
      
We combine present day observations, present day and future climate projections in a single highdimensional hierarchical Bayes model.
      
A hierarchical Bayes model is presented, under which both assumptions are relaxed.
      
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  bayesian model
Study on joint Bayesian model selection and parameter estimation method of GTD model
      
In this paper, we perform WSD study based on large scale real-world corpus using two unsupervised learning algorithms based on ±n-improved Bayesian model and Dependency Grammar (DG)-improved Bayesian model.
      
First, a Bayesian model based on MAP-MRF is used to reconstruct 3D volume, and extended to deal with the images acquired by rotation scanning method.
      
We discuss our data in the context of a Bayesian model with a gradient-based likelihood and a prior favoring slow speeds.
      
With three competing models, Bayesian model selection is used to identify the most plausible and model averaging is performed on the selected model.
      
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  bayesian framework
The new method is derived from Bayesian framework with the spatial-temporal smoothness constraint and the MAP is done by minimizing the energy functional.
      
MCMC, however, provides a simulation-based alternative for obtaining the maximum likelihood estimates of parameters of these distributions or for deriving posterior estimates of the parameters through a Bayesian framework.
      
A unified Bayesian framework addressing the two main difficulties in this context is presented, i.e., the prior distribution choice and the parameter unidentifiability problem.
      
The model is estimated within a Bayesian framework using Markov Chain Monte Carlo simulation methods.
      
The model was fit to the experimental data in a Bayesian framework using Markov chain Monte Carlo (MCMC) simulation.
      
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Several problems on the statistical effects of group testing errors are discussed and some statistical consequences of group testing are described. A Bayesian model for the effects of group testing errors is presented. It is assumed that the ratio of Nc items in a lot is a random variable with a Beta distribution. Optimal sequence of group for a given lot size,using a beta prior distribution for the ratio of Nc items in a lot is derived.

本文对Dorfman群检验问题建立一个Bayes模型,取NC项比率ω的先验分布为Beta分布。利用共轭分布法,我们得到的后验分布还是Beta分布。然后由Bayes估计得出ω由此通过群检验本身过程就可得出ω。而且可以随着检验次数的增加而逐步调整。节省了检验次数,同时又没损失信息。本文还给出了一种利用专家意见确定Beta分布参数的方法讨论了最佳分组的步骤与方法。

It is the fiest time that we advance the Bayes model of quality alarm aboutthe process of unsteady production.. In this paper we regard the inspected qualityindex X as a random variable of the probability Space and θ as a randomvariable of the probability space (@,B@, ac)and ahA as an unknown parameter and nas a known padals variety. rs belongs to n. We adopt the experienced bayal method, according to the older sample X1, X2,.., Xn and the later samPle X0, then get the esthate of the funCtion of θ. In the middle...

It is the fiest time that we advance the Bayes model of quality alarm aboutthe process of unsteady production.. In this paper we regard the inspected qualityindex X as a random variable of the probability Space and θ as a randomvariable of the probability space (@,B@, ac)and ahA as an unknown parameter and nas a known padals variety. rs belongs to n. We adopt the experienced bayal method, according to the older sample X1, X2,.., Xn and the later samPle X0, then get the esthate of the funCtion of θ. In the middle of these equalities, xo stands for the corresponding quality standard, θ0 stands for the trUe ineaSme of the present parameter θ. While a(0) exceeds the permitted waste product rate ac, an alarm ofquality stituation about the process of produCtion that the present sample stands for will be sent out.

本文首次提出了非稳定生产过程质量报警的Bayes模型。文中将被考察的质量指标X视作概率空间上的随机变量,而视θ为概率空间上的随机变量,为未知参数,为某一已知的参数分布族。采用经验的Bayes方法,依据历史样本X1,X2,…,Xn及当前样本X0,获得θ的函数的估计其中x0为相应的质量标准θ0为当前参数θ的真值。当大于允许废品率α0时,将对当前样本所代表的生产过程的质量状况发出报警。

The relation between MYCIN certainty factor (CF) and PROSPECTOR sufficiency measure (LS) is analysed. By introducing CF into subjective Bayes reasoning model, an improved model is derived. This model not only eliminates the possible inconsistence between CF and LS,but also reduces the necessary nodes of prior probability.

分析MYCIN的可信度CF与PROSPECTOR的充分性度量LS的关系.将可信度CF引入到主观Bayes模型上,导出一个综合的推理模型.该模型不仅消除了CF与LS间可能存在的不一致性,而且减少了要求先验概率值的结点数.

 
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