JProGraM (PRObabilistic GRAphical Models in Java) is a machine learning library. It supports learning and inference for various probabilistic graphical models, along with parametric and non-parametric probability density function estimation.
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jprogram JProGraM 9.1 file released: JProGraM_9-1.tar.gz
JProGraM 9.1 -- CHANGE LOG Release date: January 29, 2009 -- Principal Components Analysis is now supported; -- A number of bugs within the ninofreno.gmm and ninofreno.clustering packages have been fixed; -- Other minor features have been added (especially within the MyMath class).
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File released: /jprogram/JProGraM 9.1/JProGraM_9-1.tar.gz
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jprogram JProGraM 8.10 file released: JProGraM_8-10.tar.gz
JProGraM 8.10 -- CHANGE LOG Release date: October 7, 2008 The following algorithms are now supported by JProGraM: -- K-Means (for clustering); -- Kaufman-Rousseuw algorithm for initializing cluster centroids; -- Gaussian Mixture Model for probability density function estimation.
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File released: /jprogram/JProGraM 8.10/JProGraM_8-10.tar.gz
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jprogram JProGraM 8.6 file released: JProGraM_8-6.tar.gz
JProGraM 8.6 -- CHANGE LOG Release date: June 8, 2008 The following statistical models are now supported by JProGraM: -- Parzen Windows for probability density function estimation; -- Probabilistic decision trees for discrete pattern classification; -- Dependency networks for discrete pseudo-likelihood estimation.
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File released: /jprogram/JProGraM 8.6/JProGraM_8-6.tar.gz
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jprogram JProGraM 8.1 file released: JProGraM_8-1.tar.gz
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File released: /jprogram/JProGraM 8.1/JProGraM_8-1.tar.gz
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