Search results for "bayesian"
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 UTC - Search in distribution
Statistics::MVA::BayesianDiscrimination - Two-Sample Linear Discrimination Analysis with Posterior Probability Calculation.
Discriminant analysis is a procedure for classifying a set of observations each with k variables into predefined classes such as to allow the determination of the class of new observations based upon the values of the k variables for these new observ...
DSTH/Statistics-MVA-BayesianDiscrimination-0.0.2 - 04 Feb 2010 14:47:43 UTC - Search in distribution
Redis::Bayes - Bayesian classification on Redis
This module is an implementation of naive Bayes on Redis....
TRSKI/Redis-Bayes-0.024 - 17 Jan 2015 19:11:02 UTC - 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-0.04 - 20 Jan 2017 13:44:44 UTC - Search in distribution- AI::NaiveBayes::Classification - The result of a bayesian classification
GitInsight - Predict your github contributions using Bayesian inference and Markov chain
GitInsight is module that allow you to predict your github contributions in the "calendar contribution" style of github (the table of contribution that you see on your profile page)....
MUDLER/GitInsight-0.06 - 03 Nov 2014 19:02:09 UTC - Search in distribution- GitInsight::Util - A set of functions that uses PDL to produce stats
wurst - Wurst is a Useful, Reliable Structural Tool
use Wurst; or, depending on the directory you are running from, use FindBin; use lib "$FindBin::Bin/../src/Wurst/blib/arch"; use lib "$FindBin::Bin/../src/Wurst/blib/lib"; use Wurst;...
WURST/Wurst-0.51c - 23 May 2008 13:46:41 UTC - Search in distribution
Statistics::SDT - Signal detection theory (SDT) measures of sensitivity and bias in frequency data
This module implements algorithms for Signal Detection Theory (SDT) measures of sensitivity and response-bias, e.g., *d'*, *A'*, *c*, as based on frequency data. These are largely as defined in Stanislav & Todorov (1999; see REFERENCES), as well as o...
RGARTON/Statistics-SDT-0.07 - 17 Mar 2018 02:49:50 UTC - 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 - 17 Oct 2006 12:51:53 UTC - Search in distribution
spamassassin - simple front-end filtering script for SpamAssassin
spamassassin is a simple front-end filter for SpamAssassin. Using the SpamAssassin rule base, it uses a wide range of heuristic tests on mail headers and body text to identify "spam", also known as unsolicited bulk email. Once identified, the mail is...
SIDNEY/Mail-SpamAssassin-4.0.1 - 29 Mar 2024 12:07:52 UTC - Search in distribution- Mail::SpamAssassin::Plugin::TxRep - Normalize scores with sender reputation records
- Mail::SpamAssassin - Spam detector and markup engine
- Mail::SpamAssassin::Conf - SpamAssassin configuration file
- 9 more results from Mail-SpamAssassin »
toaster-watcher.conf - Configuration file for toaster_setup.pl and toaster-watcher.pl.
toaster-watcher.conf The contents of that file control options relating to: * where files are kept on your particular server * settings related to how the toaster is built * what programs and options are installed * where programs and run files are i...
MSIMERSON/Mail-Toaster-5.54 - 16 Feb 2017 19:40:58 UTC - Search in distribution- Mail::Toaster - a fast, secure, full-featured mail server.
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 UTC - Search in distribution
MIDI::Simple::Drummer - An algorithmic MIDI drummer
* While still viable, this module has mostly been superseded by MIDI::Drummer::Tiny. 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 tradition...
GENE/MIDI-Simple-Drummer-0.0813 - 09 Mar 2023 14:41:52 UTC - 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-0.119 - 15 Nov 2016 21:14:28 UTC - Search in distribution
Lingua::JA::Categorize - Naive Bayes Classifier for Japanese document.
Lingua::JA::Categorize is a Naive Bayes classifier for Japanese document. THIS MODULE IS IN ITS ALPHA QUALITY....
MIKI/Lingua-JA-Categorize-0.02002 - 06 Jul 2011 23:52:11 UTC - 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 - 24 Mar 2007 02:39:15 UTC - Search in distribution
Paws::SageMaker::CreateHyperParameterTuningJob - Arguments for method CreateHyperParameterTuningJob on Paws::SageMaker
This class represents the parameters used for calling the method CreateHyperParameterTuningJob on the Amazon SageMaker Service service. Use the attributes of this class as arguments to method CreateHyperParameterTuningJob. You shouldn't make instance...
JROBINSON/Paws-0.46 - 20 Jan 2024 12:10:03 UTC - 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 UTC - Search in distribution
VUser::SpamAssassin::SQL::Bayes - vuser SpamAssassin SQL Bayesian filter extension
VUser::SpamAssassin::SQL::Bayes is an extension to vuser that allows one to view and modify users' SpamAssassin Bayesian data in an SQL database. For now only deleting the data is supported....
RSMITH/VUser-SpamAssassin-SQL-0.1.0 - 21 Sep 2007 15:23:39 UTC - Search in distribution