We suspect that you had more than enough mathematics in the form of Bayes Theorem last week so this week we’ll explain how it’s used in what is called Bayesian filtering to remove spam (note that the ...

Spam today represents as much as 85% of all e-mail sent and received, according to the U.N.'s International Telecommunications Union, up from approximately 35% just one year ago. Spam is a true global ...

Bayesian spam filtering is based on Bayes rule, a statistical theorem that gives you the probability of an event. Bayesian filtering is used to give you the probability that a certain email is spam. 2 ...

Bayesian filtering is one of the most effective and intelligent solutions to combat spam email nowadays. Spam is a problem faced by all email users and it shows no sign of slowing down anytime soon; ...

Where can I find a Bayesian spam filter that will run on our Windows and Linux workstations? POPFile is a free Naive-Bayesian spam filter available at popfile.sourceforge.net. It is written in Perl to ...

Does anyone have experience with or knowledge of good server side bayesian sorting?<BR><BR>I'm not looking for spam filtering, as I currently use spamassassin(with ...

Some say that if you can’t measure something, you’re not doing science. Bayesian logic offers a way to measure things that were previously unmeasurable, allowing us to test hypotheses and predictions ...

Every day at MacFixIt, we wade through hundreds - often thousands - of individual e-mail messages on a daily basis. With e-mail address harvesters more active than ever, just "cutting the fat" ...

I get a large amount of unsolicited e-mail from public-relations firms and independent sources pitching all kinds of products and services, with the hope that I will write or talk about them. Over the ...

Built-in and add-on spam busters—programs designed to work with your e-mail program to eliminate spam—go about determining what is and isn’t spam in a variety of ways. They may include some or all of ...

An analysis technique that has been applied to eliminating spam. It "learns" to differentiate real mail from advertising by examining the words and punctuation in large samples of both types of ...