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The BUGS Project - Bayesian inference Using Gibbs Sampling
BUGS is a piece of computer software for the Bayesian analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods. Software for several platforms is available for downloading, and all the manuals are also available online or in downloadable formats.The BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with flexible software for the Bayesian analysis
Mallet: MAchine Learning for LanguagE Toolkit
View the Project on GitHub mimno/Mallet Download ZIP File Download TAR Ball View On GitHub Mallet: MAchine Learning for LanguagE Toolkit MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text. MALLET includes sophisticated tools for document classificati
lda, a Latent Dirichlet Allocation package
lda, a Latent Dirichlet Allocation package. Daichi Mochihashi NTT Communication Science Laboratories $Id: index.html,v 1.3 2004/12/04 12:47:35 daiti-m Exp $ Overview lda is a Latent Dirichlet Allocation (Blei et al., 2001) package written both in MATLAB and C (command line interface). This package provides only a standard variational Bayes estimation that was first proposed, but has a simple textu
ARtool Info Index
Overview: ARtool represents a collection of algorithms and tools for the mining of association rules in binary databases. ARtool is a new project based on some of the sources that I wrote for ARMiner and on a new algorithm that I designed for my research in the domain of association rule mining. The user interface has been designed and implemented from scratch. ARtool is distributed under the GNU
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