11 results (0.764 seconds)
Algorithm::Bayesian - Bayesian Spam Filtering Algorithm ++

Algorithm::Bayesian provide an easy way to handle Bayesian spam filtering algorithm. SUBROUTINES/METHODS new my $b = Algorithm::Bayesian->new(\%hash); Constructor. Simple hash would be fine. You can use Tie::DBI to store data to RDBM, or other key-va...

GSLIN/Algorithm-Bayesian-0.5 - 03 Dec 2010 18:46:50 GMT - Search in distribution

AI::NaiveBayes - A Bayesian classifier 2 ++

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-0.02 - 05 May 2014 09:57:42 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   (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 1 ++

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 1 ++

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-0.07 - 03 Jun 2014 06:14:54 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-0.071 - 21 Jan 2014 17:00:26 GMT - Search in distribution

Mail::SpamAssassin::Conf - SpamAssassin configuration file 4 ++

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-3.4.0   (3 reviews) - 11 Feb 2014 17:45:36 GMT - Search in distribution

Algorithm::ExpectationMaximization - A pure-Perl implementation 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-1.2 - 27 Jun 2013 19:19:19 GMT - Search in distribution

AI::Categorizer::Learner::NaiveBayes - Naive Bayes Algorithm For AI::Categorizer 2 ++

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   (2 reviews) - 24 Mar 2007 02:39:15 GMT - Search in distribution




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