Abstract: Hierarchical Dirichlet Process (HDP) has attracted much attention in the research community of natural language processing. Given a corpus, HDP is able to determine the number of topics ...

This project implements the Gibbs sampling algorithm for a Dirichlet Mixture Model of Yin and Wang 2014 for the clustering of short text documents. Some advantages of this algorithm: It requires only ...

Abstract: Latent Dirichlet allocation (LDA) is an important hierarchical Bayesian model for probabilistic topic modeling, which attracts worldwide interest and touches on many important applications ...

ITILA is unusual in teaching information theory, error-correcting codes, and Bayesian inference as one subject, with algorithms as the through-line. This repository implements that algorithmic core in ...

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dIBTCI, Global Health Technical Assistance and Mission Support Project (GH-TAMS), Washington, DC, United States eUnited States Agency for International Development, Bureau of Global Health, Office of ...