It is almost impossible to rely on a single one of the techniques above to identify spam perfectly, but you can increase the quality of the spam filter by using combinations.
要想仅依赖上面的某一种技术来很好地识别垃圾邮件，这几乎是不可能的，但是通过使用多种技术的组合，您可以提高垃圾邮件的过滤效果。
Using the techniques in this article either removes the responsibility from you to manually update the systems, or empowers you to help improve the overall spam filtering solution.
使用本文中介绍的各种技术，可以使您不再需要手动地更新系统、或者可以帮助您对整体垃圾邮件过滤解决方案进行改进。
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.
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%。
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