UncommonDistributions.java - Source Code Display - Jarvana. Search Browse Javadoc Search Javadoc Browse More Web Tutorials Java Source Code Display Archive: / org / apache / mahout / mahout-core / 0.3 / mahout-core-0.3-sources.jar.
Using Distributions to make a Gibbs sampler. Gibbs sampling is a statistical technique related to Monte Carlo Markov Chain sampling.
It is used to search a solution space for an optimal (or at least locally optimal solution). It is an iterative technique. Basically, a single parameter is chosen at random and the value of it is set to a random value (or one chosen from a distribution). JGibbLDA: A Java Implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling for Parameter Estimation and Inference.
JGibbLDA A Java Implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling for Parameter Estimation and Inference Copyright © 2008 by Xuan-Hieu Phan (pxhieu at gmail dot com), Graduate School of Information Sciences, Cam-Tu Nguyen (ncamtu at gmail dot com), , National University,
PS_cache/arxiv/pdf/1107/1107.3765v1.pdf. “Gibbs Sampling for the Uninitiated” for the Uninitiated. Wpm/Naive-Bayes-Gibbs-Sampler - GitHub.