研究表明贝叶斯模型修正方法用于模型确认能显著提高预测精度。
The results demonstrate that the model predictive precision can be significantly improved when utilizing Bayesian model updating method in model validation.
研究表明贝叶斯模型修正方法用于模型确认能显著提高预测精度。
The study results demonstrate that the model predictive precision can significantly be improved when utilizing Bayesian model updating method in model validation.
本文重点讨论贝叶斯模型的推理结构及其在地震危险性分析中的意义。
This paper emphasizes the inferential structure of the Bayesian model and its implications.
统计计算机程序使用贝叶斯模型计算某些已经预测事件对石油的影响。
Statistical computer programs use Bayesian methods to calculate the probability of the impact of certain predicted events on oil.
首先，使用一个有效的近似贝叶斯模型类的选择方案来估计并发事件数目。
First, an efficient approximate Bayesian model class selection scheme is used to estimate the number of concurrent events.
在大规模基因表达谱的数据分析中引入了一种全新的基于贝叶斯模型的聚类算法。
A novel clustering algorithm based on Bayesian model was introduced into the analysis of large-scale gene expression profiles.
贝叶斯模型是一种计算模型，而不是描述模型，所以，也有人将其单独归为概率解释。
Bayesian model is a computational model, not a descriptive model. Hence, it's also returned to the probability interpretation.
贝叶斯模型平均法用来综合各模型的结果并提供一种反映模型选择和抽样变异性的不确定性度量。
Bayesian model averaging was used to combine the results across models and to provide a measure of uncertainty that reflects the choice of model and the sampling variability.
通过收集到的缺陷数据样本比较结果表明，该模型比一些常用贝叶斯模型具有更好的预测准确性和稳定性。
Finally, collected defect data samples are used to verify the model and the result indicated that the model is better than the common Bayesian models both in veracity and stability of prediction.
基于贝叶斯模型的文档分类具有简单、直观、性能稳定的优点，但面对复杂的文档分类问题，仍然存在许多急待解决的问题。
Although text classification with Bayesian classifier is simpler, intuitionistic and stable in performance, they still face with some significant problems in some complex text classification tasks.
贝叶斯技术建立在单词模型上，其工作良好。
我决定研究一下，对于贝叶斯垃圾邮件过滤器，一个绝对有限的模型空间究竟工作得有多好。
I decided to look into how well a much more starkly limited model space would work for a Bayesian spam filter.
但是模型建立起来后，几乎不可避免地把贝叶斯的预先假定理论也纳入了模型中。
It appears to be objective. But when models are built, it is almost impossible to avoid including Bayesian-style prior assumptions in them.
在“APlanforSpam”（请参阅本文后面的 参考资料）中，Graham提议建立垃圾邮件和非垃圾邮件单词的贝叶斯概率模型。
In "A Plan for Spam" (see Resources later in this article), Graham suggested building Bayesian probability models of spam and non-spam words.
建立了投标报价一般静态贝叶斯博弈模型。
The general static Bayesian game model is established for bidding quotation.
贝叶斯分类模型是入侵检测中用于攻击类型分类的有力工具。
Bayes classifier model is a powerful tool for classifying attack types in intrusion detection.
贝叶斯网络是目前不确定知识和推理领域最有效的理论模型之一。
Bayesian network is one of the most efficient models in the uncertain knowledge and reasoning field.
运用贝叶斯理论及方法，建立了网络系统风险的动态评估模型。
Based on Bayesian theory and concerning approaches, this paper establishes an evaluating model and gives the corresponding method to evaluate dynamically the network risk.
研究表明，博弈模型存在某种形式的精炼贝叶斯纳什均衡，而且道德风险的存在会使保险单价格上升。
The research shows that the game model has a perfect Bayesian Nash equilibrium and the existing of moral haz.
为改善周期精确级功耗分析的准确度和速度问题，使用多维特征参数建立贝叶斯推理的动态功耗模型。
To improve the accuracy and speed in cycle-accurate power estimation, this paper USES multiple dimensional coefficients to build a Bayesian inference dynamic power model.
提出了基于静态贝叶斯博弈的攻击预测模型。
This paper described an attack prediction model based on static Bayesian game.
提出了基于动态贝叶斯博弈的攻击预测模型。
This paper described an attack prediction model based on dynamic bayesian games.
因此，提出了一种基于粗糙集理论的混合树增广朴素贝叶斯分类模型（MTANC）。
So a new Bayesian model mixed tree augmented Naive Bayes classifier(MTANC) based on the rough set theory is presented.
研究软件模块排序模型的评估和使用方法，并提出以贝叶斯信念网络改进排序模型的基本定量模型。
It researches the method for the models evaluation and use, and then introduced the bayesian belief networks to improve the underlying quantitative model.
对一类非线性贝叶斯动态模型进行了处理。
In this paper, a kind of Nonlinear Bayesian Dynamic Model is solved.
方法利用贝叶斯图解模型和年龄队列模型对肝癌发病的年龄、出生队列效应的参数进行估计。
Methods age cohort models was used to fit data of twenty five years PLC incidence in Qidong to estimate parameters for birth cohort and age effect by means of Bayesian graphical modeling.
以特征信息结构树为基础，对贝叶斯网络模型进行推理，来获得客户需求的兴趣集中点。
Through reasoning Bayesian network model based on the features information construction tree of client requirement, the client requirement concentration is acquired.
以特征信息结构树为基础，对贝叶斯网络模型进行推理，来获得客户需求的兴趣集中点。
Through reasoning Bayesian network model based on the features information construction tree of client requirement, the client requirement concentration is acquired.
应用推荐