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The application Crimeblips provides up-to-date crime statistics for Berlin (Germany). It maps and visualizes crimes, allowing users to identify crime hot spots, trends and general patterns. Bayesian algorithms are used to extract relevant information.
software for identifying modules in networks (e.g. "community detection"), as described in "a bayesian approach to network modularity" (physical review letters 100, 258701 (2008); http://link.aps.org/abstract/PRL/v100/e258701).
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)
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
The random PDBN generator is a partially dynamic Bayesian network (PDBN) generator based off of the BNGenerator by Fabio Cozman et al. It can generate and categorize a set of PDBNs and is meant for scientific research into dynamic Bayesian networks.
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Agrumelaire : An RSS Aggregator with Bayesian Learning System. Produces an RSS feed from a set of existing feeds. Items are categorized according to the reader's interests. Resulting feed is accessible from any standard RSS client application.
ExpressionNet uses Bayesian network learning technique to generate models of transcriptional response based on a combination of gene expression data, genetic information and experimental conditions.
This is a spam hardened Wiki. Spam protection includes no posting of URLs by public members, e-mail sign up, RSS feed of IP block list, easy ISP reporting of attacks, Bayesian IP blocking, random submit fields and Google rel attributes.
Group of packages, developed in J2ME, to allow the automated collection of evidences mapped in a Bayesian Network.
The packages can work with Bayesian Networks (MSBNx tool) that represent a set of subjects (questions).
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
Java/XML toolkit for research using Bayesian networks and other graphical models of probability (exact and approximate inference, structure learning, etc.)
RISO: distributed, heterogeneous Bayesian belief networks. Belief network: a probability model defined on an acyclic directed graph; distributed: nodes can be on different hosts; and heterogeneous: allowing different types of conditional distributions.
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.
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.
A general purpose C++ library for Bayesian Filtering.<p>
Essentially Bayesian Filtering is a way of having a program learn to categorize information from a specific user through pattern recognition. <p>
Pyndex is a simple and fast full-text indexer and Bayesian classifier implemented in Python. It uses Metakit as its storage back-end. It works well for quickly adding search to an application, and is also well suited to in-memory indexing and search.
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.