英语释义

• of or relating to statistical methods based on Bayes' theorem

片语

Bayesian Network贝叶斯网络

bayesian statistics[数][统计] 贝叶斯统计（一种非传统的统计方式）

bayesian inference[数] 贝叶斯推理

Bayesian Optimization贝叶斯优化

Bayesian rationality贝叶斯理性

Bayesian methods贝叶斯分析法

Bayesian updating贝叶斯更新

Bayesian regression贝叶斯回归

Bayesian Classifiers贝叶斯分类器

naive bayesian朴素贝叶斯

Bayesian rule贝叶斯规则

英汉例句

• For example, let「s say that being in the whitelist gives a score of -10, but matching the Bayesian filter gives a score of 15.

  例如，假定如果电子邮件地址在白名单中则得到- 10分，但是如果它匹配Bayesian过滤器，则得到15分。

• The Bayesian spam filtering technique works by comparing 「spam」 words with 「normal」 words.

  Bayesian垃圾邮件过滤技术通过将「垃圾邮件」单词与「正常」单词进行比较来实现过滤任务。

• Statistical tools drawn from classical and Bayesian statistics and machine learning are used to fit appropriate computational models to these data.

  来自经典的统计工具和贝叶斯统计和机器学习使用适当的计算模型，以适应这些数据。

• But, if the spam contained an advert for some drugs, then it」s highly likely that one of the matching mechanisms or Bayesian filters would identify the E-mail as spam.

  但是，如果垃圾邮件包含一些药品的广告，那么使用某种匹配机制或者Bayesian过滤器很可能可以识别出该电子邮件是一封垃圾邮件。

• 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).

  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。

• As a side benefit, a Graham-style Bayesian filter is also simpler and faster than SpamAssassin.

  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。

• You should embrace the Bayesian approach.

  你应该拥抱贝叶斯分析方法。

• Bayesian network is one of the most efficient models in the uncertain knowledge and reasoning field.

  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 networks are today's standard method for handling uncertainty in computer systems, processing thousands of variables and millions of observations.

  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準方法。

• Unlike earlier studies, Gregory used a branch of statistics called Bayesian analysis.

  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。

• On the customer support side, a Bayesian Filtering algorithm zaps spam and turns email into trackable cases routed to the correct department.

  在客户支持方面，贝叶斯过滤（Bayesian Filtering）算法会阻击所有spam，让email能够準确投递到相应的部门。

• 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.

  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 techniques built on a word model work rather well.

  贝叶斯技术建立在单词模型上，其工作良好。

• Techniques such as Bayesian networks or neural networks use highly expressive models, which try to produce a non-biased classifier in order to 「describe」 a corpus of documents.

  Bayesian网络或神经网络等技术使用表达能力非常强的模型，力求生成无偏向的分类器来「描述」文档集。

• 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.

  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。

• I decided to look into how well a much more starkly limited model space would work for a Bayesian spam filter.

  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。

• The method, called Bayesian phylogeny, depends on having a computer draw a large number of possible trees and sampling them to find the most probable.

  这一方法，被称为贝叶斯发展论，依赖于使用计算机画出大量可能的树形并从中找到最可能的。

• Bayesian filtering is plenty useful.

  贝叶斯滤波十分的有用。

• 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.

  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。

• It is compared with two kinds of classifier, which is based on the principle of immunity, and traditional Bayesian classification.

  与两种基于免疫原理的文本分类方法和传统的贝叶斯分类器进行了比较研究。

• 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。

• In 「A Plan for Spam」 (see Resources later in this article), Graham suggested building Bayesian probability models of spam and non-spam words.

  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。