• 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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能够准确投递到相应的部门。

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  • 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。

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  • Finally introduced the fundamental step of filtering spam mail with Bayesian algorithm.

    最后介绍了贝叶斯过滤算法反垃圾邮件的基本步骤。

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  • By introducing the novel users' feedback mechanism, the technique adopts an improved Na? Ve Bayesian approach to construct classifiers for specific users to fulfill spam filtering.

    该技术通过引入用户反馈机制,使用改进的朴素贝叶斯方法,构建面向特定用户的过滤器,从而进行垃圾邮件过滤。

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  • Bayesian algorithm based on the content filter showed a high degree of accuracy when filter the spam therefore it has received extensive attention.

    基于内容的贝叶斯算法在垃圾邮件处理上表现出了较高的准确度,因此受到了广泛的关注。

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  • We finally described a Spam Filtering model and realization of the prototype based on Bayesian model with related improvements.

    最后给出基于贝叶斯及其改进算法的邮件过滤模型及基于该框架的垃圾邮件过滤原型系统的实现。

    youdao

  • We finally described a Spam Filtering model and realization of the prototype based on Bayesian model with related improvements.

    最后给出基于贝叶斯及其改进算法的邮件过滤模型及基于该框架的垃圾邮件过滤原型系统的实现。

    youdao

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