Showing 15 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: 74 This Week
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  • 2
    Anti-Spam SMTP Proxy Server

    Anti-Spam SMTP Proxy Server

    Anti-Spam SMTP Proxy Server implements multiple spam filters

    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 also available for download. NOTICE: V1 development has been stopped at the end of 2014 (1.10.1 build 16060). ...
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    Downloads: 37,876 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
    Bayesian anti-spam classifier written in Python.
    Downloads: 2 This Week
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  • 5
    jASEN is a pure java Anti Spam ENgine combining bayesian-like scanning with intelligent email inspection and classification. jASEN is best suited to developers wishing to integrate anti-spam services into an existing server based java email application.
    Downloads: 0 This Week
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  • 6
    Spam Filtering algorithm support for email, blogs, or any other public documents using statistical bayesian techniques.
    Downloads: 0 This Week
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  • 7
    Linasf is a PHP implementation of a SpamAssassin-like spam filter. It uses Bayesian Filters, User-defined rules and Artificial Neural Networks to obtain excellent results. Training and integration with current PHP system is very easy. (uses MySQL as DB)
    Downloads: 0 This Week
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  • 8
    Fast, intelligent, automatic spam detector using Paul Graham style Bayesian analysis of word counts in spam and non-spam emails. Filtering adapts to personal tastes automatically. No manual rule creation required. Intended for use with procmail, maild
    Downloads: 6 This Week
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  • 9
    Classifier4J is a java library that provides an API for automatic classification of text. The default (and only current) implementation of this API is a Bayesian classifier. This library can be used for multiple purposes - as a spam filter or a blog cl
    Downloads: 0 This Week
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  • 10
    A user-centric Java Mailet for the Apache James mail server (a Java mail server) for the purpose of filtering spam using a naive Bayesian algorithm. As a Mailet, the filter can act upon spam as it is received over SMTP before the user gets it.
    Downloads: 0 This Week
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  • 11
    SPAM-Buster is a Java application for filtering SPAM based on statistical algorithms (currently Bayesian). The platform independant application can be used as graphical end-user client and additional service for mail server.
    Downloads: 0 This Week
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  • 12
    StandBayeMail, a java POP3 proxy with real time bayesian mail filtering
    Downloads: 0 This Week
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  • 13
    Public domain portable Naive Bayesian message filter aimed towards C programmers.
    Downloads: 0 This Week
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  • 14
    You can filter your email using a bayesian like statistical method. Written in 100% Python, easily extensible, and is used as a pop3 proxy to reduce the intrusion on your system.
    Downloads: 0 This Week
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  • 15
    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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