垃圾邮件过滤程序使用基于人工智能的学习和分类技术，每天从所有邮件里鉴别出2000亿封垃圾邮件中的99.9%。
Spam filtering programs using A.I. learning and classification techniques correctly identify over 99.9% of the 200 billion spam e-mails sent each day.
归功于智能过滤，作为大多数网迷日常的麻烦事的未申请的邮件已经大量的消失。
Thanks to clever filters unsolicited email has largely disappeared as a daily nuisance for most on the internet (see article).
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.
开发了“智能邮件过滤系统(IEFS)”，使垃圾邮件误判率得到了一定程度的控制，有效防止了垃圾邮件的泛滥。
And have developed "Intelligent E-mail Filter System (IEFS)". It has made the rate of spam erroneous judgment under the control, efficiently avoid spam overflow.
智能邮件信息处理基于数据包过滤和协议分析处理技术，实现了邮件加密，签名的智能化。
The intelligent E-mail processing, which is based on the packet filtering and protocol analysis, makes the encryption and signature intelligent.
智能邮件信息处理基于数据包过滤和协议分析处理技术，实现了邮件加密，签名的智能化。
The intelligent E-mail processing, which is based on the packet filtering and protocol analysis, makes the encryption and signature intelligent.
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