Showing 8 open source projects for "bayesian"

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  • 1

    bogofilter -- Fast Bayesian Spam Filter

    Fast Bayesian spam filter along lines suggested by Paul Graham

    The bogofilter package implements a fast Bayesian spam filter as suggested by Paul Graham in "A Plan For Spam" <http://www.paulgraham.com/spam.html>. It is written in C. Supported platforms: Linux, FreeBSD, Solaris, OS X, HP-UX, AIX, RISC-OS, ...
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    Downloads: 71 This Week
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  • 2
    ...It supports the SMTP, POP3 and IMAP (in a simple form) protocols. Furthermore, among much other features, it is capable of showing HTML mails and can identify spam mails by using a Bayesian filter.
    Downloads: 2 This Week
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  • 3

    dbacl - digramic Bayesian classifier

    commandline multiclass email and text filter

    dbacl is a general purpose digramic Bayesian text classifier. It can learn text documents you provide, and then compare new input with the learned categories. It can be used for spam filtering, or within your own shell scripts. Sometimes it plays che
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    Downloads: 14 This Week
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  • 4
    A spam filter for Lotus Domino, including simple rule based filtering, regular expression matching and Bayesian filtering.
    Downloads: 0 This Week
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  • 5
    Public domain portable Naive Bayesian message filter aimed towards C programmers.
    Downloads: 0 This Week
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  • 6
    bmf is a self contained and extremely efficient Bayesian mail filter. See Paul Graham's article "A Plan for Spam" for background information. It aims to be faster, smaller, and more versatile than similar applications.
    Downloads: 7 This Week
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  • 7
    A Bayesian spam filter for SMTP servers, based on Paul Graham's "A Plan for Spam", http://www.paulgraham.com/spam.html. Includes tools for spam-database maintenance & testing config. parameters. Supports sendmail & postfix; others soon. GPL.
    Downloads: 0 This Week
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  • 8
    This project applies statistical text categorization techniques to the domain of spam mail filtering. The goal is to produce mail filtering software that can be trained to recognize spam in a particular individual's email. The statistical models produc
    Downloads: 0 This Week
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