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 ...

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 ...

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 ...

Achieving a 98%+ spam detection rate using a mathematical approach This white paper describes how Bayesian mathematics can be applied to the spam problem, resulting in an adaptive, ‘statistical ...

Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...

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 ...

No matter how your customers use their computers, there is one common denominator that affects them all: spam, which represents as much as 85 percent of all e-mail sent and received, according to the ...

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" ...

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 ...