Search Results for "learning classifier system"

The Anti-Spam SMTP Proxy (ASSP) Server project aims to create an open source platform-independent SMTP Proxy server which implements auto-whitelists, self learning Hidden-Markov-Model and/or Bayesian, Greylisting, DNSBL, DNSWL, URIBL, SPF, SRS, Backscatter, Virus scanning, attachment blocking, Senderbase and multiple other filter methods. Click 'Files' to download the professional version 2.8.1 build 24261. A linux(ubuntu 20.04 LTS) and a freeBSD 12.2 based ready to run OVA of ASSP V2 are...

Quick Spam Filter is a small, fast spam filter that works by learning to recognise the words that are more likely to appear in spam than non-spam. It is intended to be used in a procmail recipe to mark email as being possible spam.

Bayesian anti-spam classifier written in Python.

IILearn is an e-learning and course management web application based on the Dokeos LMS/LCMS system. We aim to provide a flexible way of delievering E-Learning courses and contents. IILearn will integrate with DimDim.

AISK is an acronym for Artificial Intelligence Spam Killer. It is a server side filter that acts as a kind of PROXY and uses SMTP to communicate with MTA. Main decision mechanism is based on artificial neural network capable of finding patterns, learning

After the presentation on CeBIT 2004 fair finally available: SpamStop works as a Proxy between your Pop3-Client and the -Provider, it uses a Support Vector Machine to classfy incoming mails and automatically learns classifiers from samples of your mails.

A learning spam filter - uses probability calculations to arrive at the statistically correct answer for whether a certain text is "spam" text or not.

An e-mail filing system that will automatically sort an incoming e-mail message to the appropriate folder by learning the user's mail folders contents. Will also include an option to correct errors in filing.