**Algorithm::Bayesian - Bayesian Spam Filtering Algorithm**

Algorithm::Bayesian provide an easy way to handle Bayesian spam filtering algorithm....

GSLIN/Algorithm-Bayesian-0.5 - 03 Dec 2010 18:46:50 GMT - Search in distribution**AI::NaiveBayes - A Bayesian classifier**

This module implements the classic "Naive Bayes" machine learning algorithm. This is a low level class that accepts only pre-computed feature-vectors as input, see AI::Classifier::Text for a text classifier that uses this class. Creation of "AI::Naiv...

ZBY/AI-NaiveBayes-0.03 - 08 Jan 2016 12:46:35 GMT - Search in distribution**Pugs::Doc::Hack - How to hack on Pugs**

This document attempts to explain how to start working on Pugs, as well as conventions used in day-to-day development. Source tree map The Pugs source tree includes several major sections: . |-- LICENSE Licenses that apply to the Pugs distribution |-...

AUDREYT/Perl6-Pugs-6.2.13 5 (1 review) - 17 Oct 2006 12:51:53 GMT - Search in distribution**Statistics::SDT - Signal detection theory (SDT) measures of sensitivity and response-bias**

Signal Detection Theory (SDT) measures of sensitivity and response-bias, e.g., *d'*, *A'*, *c*. For any particular analysis, you go through the stages of (1) creating the SDT object (see new), (2) initialising the object with relevant data (see init)...

RGARTON/Statistics-SDT-0.05 - 18 Jul 2013 04:52:46 GMT - Search in distribution**Mail::SpamTest::Bayesian - Perl extension for Bayesian spam-testing**

This module implements the Bayesian spam-testing algorithm described by Paul Graham at: http://www.paulgraham.com/spam.html In short: the system is trained by exposure to mailboxes of known spam and non-spam messages. These are (1) MIME-decoded, and ...

FIREDRAKE/Mail-SpamTest-Bayesian-0.02 - 08 Sep 2002 17:19:02 GMT - Search in distribution**Algorithm::NaiveBayes - Bayesian prediction of categories**

This module implements the classic "Naive Bayes" machine learning algorithm. It is a well-studied probabilistic algorithm often used in automatic text categorization. Compared to other algorithms (kNN, SVM, Decision Trees), it's pretty fast and reaso...

KWILLIAMS/Algorithm-NaiveBayes-0.04 - 08 Jun 2007 13:01:22 GMT - Search in distribution**MIDI::Simple::Drummer - An algorithmic MIDI drummer**

This is a "robotic" drummer that provides algorithmic methods to make beats, rhythms, noise, what have you. It is also a glorified metronome. This is not a traditional "drum machine" that is controlled in a mechanical or "arithmetic" sense. It is a "...

GENE/MIDI-Simple-Drummer-0.0803 - 04 Oct 2015 22:54:27 GMT - Search in distribution**lib/Games/Go/AGA/BayRate.pm**

The American Go Association (AGA) provides a rating system for the go players of the nation. The algorithm is described in detail in a paper on their web-site (http://usgo.org): AGARatings-Math.pdf. They also provide a C++ implementation example: "ba...

REID/Games-Go-AGA-BayRate-0.102 - 13 Mar 2016 20:43:00 GMT - Search in distribution**Mail::SpamAssassin::Conf - SpamAssassin configuration file**

SpamAssassin is configured using traditional UNIX-style configuration files, loaded from the "/usr/share/spamassassin" and "/etc/mail/spamassassin" directories. The following web page lists the most important configuration settings used to configure ...

KMCGRAIL/Mail-SpamAssassin-3.4.1 4.5 (3 reviews) - 29 Apr 2015 17:11:37 GMT - Search in distribution- Mail::SpamAssassin::Plugin::Bayes - determine spammishness using a Bayesian classifier
- Mail::SpamAssassin::Plugin::TxRep - Normalize scores with sender reputation records

**Algorithm::ExpectationMaximization - A Perl module for clustering numerical multi-dimensional data with the Expectation-Maximization algorithm.**

Algorithm::ExpectationMaximization is a *perl5* module for the Expectation-Maximization (EM) method of clustering numerical data that lends itself to modeling as a Gaussian mixture. Since the module is entirely in Perl (in the sense that it is not a ...

AVIKAK/Algorithm-ExpectationMaximization-1.22 - 11 Dec 2014 15:38:37 GMT - Search in distribution**AI::Categorizer::Learner::NaiveBayes - Naive Bayes Algorithm For AI::Categorizer**

This is an implementation of the Naive Bayes decision-making algorithm, applied to the task of document categorization (as defined by the AI::Categorizer module). See AI::Categorizer for a complete description of the interface. This module is now a w...

KWILLIAMS/AI-Categorizer-0.09 5 (2 reviews) - 24 Mar 2007 02:39:15 GMT - Search in distribution