On mySimon: Vosges Haut-Chocolat
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Overview:

Bayesian spam filters calculate the probability of a message being spam based on its contents. Unlike simple content-based filters, Bayesian spam filtering learns from spam and from good mail, resulting in a very robust, adapting and efficient anti-spam approach that, best of all, returns hardly any false positives. Those plagued by the onslaught of tens if not hundreds of unwanted emails greeting one as they open up their email accounts have some hope for respite in the form of Bayesian spam filters. For years spammers have been able to remain one step ahead of spam blockers simply because of their creativity and ability to adjust and evade blocking each time a new spam filter was developed.

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Format:PDFSize:86 KB
Date:Sep 2008
Pages:3

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