先进的贝叶斯分析用于检测方程。
贝叶斯算法，希望对大家有帮助。
你应该拥抱贝叶斯分析方法。
贝叶斯滤波十分的有用。
贝叶斯技术建立在单词模型上，其工作良好。
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.
贝叶斯网络的学习。
贝叶斯正则化方法提高BP神经网络的泛化能力。
Bayes' regularization raises the ability to extend of BP neural network.
贝叶斯网络以统计学为基础，是数据挖掘技术的一种方法。
On the base of statistics, the bayes network is a method of data mining.
利用贝叶斯理论，对预测的路径行程时间进行更新与调整。
The forecast route travel time is updated and adjusted by Using Bayesi Theory.
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.
结果，特殊的贝叶斯网络还可以处理因果关系和反事实关系。
Special versions of Bayesian networks, as it turned out, can manage causal and counterfactual relationships as well.
使用贝叶斯网建模已成为解决许多不确定性问题的强有力工具。
Modeling with Bayesian belief network has been a powerful tool to solve many uncertainty problems.
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.
贝叶斯统计理论：阐述贝叶斯网络的数学原理——贝叶斯统计。
Bayesian statistics theory: Expatiate the mathematic principle of Bayesian Networks, Bayesian statistics.
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.
重点介绍了采用基于贝叶斯方法的智能启发式过滤技术的邮件过滤模块设计。
This paper recommended the E-mail filtering module which adopts the heuristic filtering technique based on the Bayesian Statistic method detailedly.
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.
特别是在当前数据较少或者较难获得的情况下，贝叶斯网络的这一优点更加明显。
Especially when the current data are scarce or hard to obtain, the advantage of the bayes network is evident.
研究了贝叶斯网络的学习问题，包括贝叶斯网络结构学习和贝叶斯网络参数学习。
The learning of Bayesian Networks is studied, including structure learning of Bayesian Networks and parameter learning of Bayesian Networks.
与较早的研究不同的是，格列格雷运用了统计学的一种方法——贝叶斯过滤分析法。
Unlike earlier studies, Gregory used a branch of statistics called Bayesian analysis.
贝叶斯网络是如今处理计算机系统，处理成千上万个变量和无数个观察的标准方法。
Bayesian networks are today's standard method for handling uncertainty in computer systems, processing thousands of variables and millions of observations.
不过帕斯卡的理论相对简单，也得到了普遍理解，而贝叶斯的理论人们一直很难领会。
But, whereas Pascal's ideas are simple and widely understood, Bayes's have always been harder to grasp.
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.
贝叶斯网络用因果关系图的形式表达变量间相互关系，实现复杂系统的故障模式和效应分析。
Variable correlation is expressed with consequence graph in Bayesian Networks (BN), analysis of failure mode and effect of complex system is realized.
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.
决策树方法一直被用于贝叶斯决策问题的最优方案选择，即从若干决策方案中选择一个最优方案。
Up to now, the decision tree method is used to find the optimal solution of a Bayesian decision problem, that is, to select an optimal one from several decision alternatives.
决策树方法一直被用于贝叶斯决策问题的最优方案选择，即从若干决策方案中选择一个最优方案。
Up to now, the decision tree method is used to find the optimal solution of a Bayesian decision problem, that is, to select an optimal one from several decision alternatives.
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