安装一个垃圾邮件过滤器。
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。
Although Outlook 2007 had a good spam filter, I still usually got around 2 or 3 emails a week sneaking into my inbox… not with Gmail.
尽管Outlook2007也有个类似的过滤器，但每周还是有2到3份垃圾邮件溜进我的收件箱…这一点不如Gmail。
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。
Even though I have a pretty good spam filter, I still check through my trash folder carefully to make sure nothing important was filtered out.
即使我有一个非常好的垃圾邮件过滤器，我仍然小心检查我的垃圾文件夹以确保重要的邮件没有被过滤掉。
The error rate is important for a spam filter technique.
垃圾过滤技术的一个重要指标是误判率。
This spam filter still lets a lot of junk email get through.
这个垃圾邮件过滤器还是让很多垃圾邮件通过。
Although the Naive Bayes spam filter is simple and convenient, the recall and precision are hard to be improved.
虽然朴素贝叶斯邮件过滤器计算简便，但召回率和正确率都难以进一步提高。
Spam filter marked too many valid messages as spam. Parental control is rudimentary.
邮件过滤将太多的有用信息误认为垃圾邮件。父母控制功能过于简单。
Lack of standard Chinese mail dataset, the performance of various Spam-filter systems can't be evaluated.
由于缺乏标准的中文邮件样本集，无法评测不同垃圾邮件过滤系统的性能。
Lack of standard Chinese mail dataset, the performance of various Spam-filter systems can't be evaluated.
由于缺乏标准的中文邮件样本集，无法评测不同垃圾邮件过滤系统的性能。
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