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.
传统方法的适用范围计较狭窄，只能检测一种假说，但是贝叶斯过滤法可以同时检测一系列假说，并找出可能性最大的一个。
Classical methods are narrow, testing only a single hypothesis, but Bayesian methods can evaluate a whole set of scenarios and figure out which is the most likely.
从心理上来说，人们更倾向于贝叶斯的理论，甚至到了经常做出错误联系的程度，而这种风险则令科学家们更加偏好帕斯卡的观点——它似乎挺客观。
Psychologically, people tend to be Bayesian—to the extent of often making false connections. And that risk of false connection is why scientists like Pascal's version of the world.
贝叶斯滤波十分的有用。
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.
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.
贝叶斯推理在对付电子邮件中的垃圾信息以及其他与垃圾信息不相关的领域(比如客户亲和力引擎，或商业推荐引擎)均有突出的表现。
Bayesian inference has also gained prominence in E-mail spam-fighting, and in non-spam-related areas such as customer affinity engines (or, commercial recommendation engines).
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.
代替了用键盘来设置智能文件夹，Shrook使用贝叶斯统计学方法来过滤并挑选出你感兴趣的东西，而且你可以通过拿出一些例子来教它。
Instead of setting up smart folders based on keywords, Shrook will use Bayesian statistical filtering to pick out items of interest, and you teach it by picking out examples.
附带的好处是，graham样式的贝叶斯过滤器还是比SpamAssassin更快和更简单。
As a side benefit, a Graham-style Bayesian filter is also simpler and faster than SpamAssassin.
在客户支持方面，贝叶斯过滤（Bayesian Filtering）算法会阻击所有spam，让email能够准确投递到相应的部门。
On the customer support side, a Bayesian Filtering algorithm zaps spam and turns email into trackable cases routed to the correct department.
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）。
The most common statistical approach is called bayesian inference and is explained in detail in another IBM developerWorks article (see Resources).
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.
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.
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.
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.
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.
为了解决该方法存在的训练数据集问题，本文改进了现有的贝叶斯分类算法，提出了利用未标记数据提高贝叶斯分类器性能的方法。
In order to solve the problem existing in training data sets, present Bayes algorithm is im - proved and an algorithm using unlabeled data to improve the capability of the classifier is proposed.
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.
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.
根据统计分析和贝叶斯估计结果，建议了强度等级为C20和C30再生混凝土抗压强度的标准值与标准差的取值。
Based on the results of Bayes estimations, the standard deviations for the compressive strength of RAC with strength grades of C20 and C30 were proposed.
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.
先进的贝叶斯分析用于检测方程。
先进的贝叶斯分析用于检测方程。
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