GibbsLDA：references
....................\1、An introduction to MCMC for machine learning.pdf
....................\1、An introduction to MCMC for machine learning（原版）.pdf
....................\2、Latent Dirichlet Allocation.pdf
....................\3、A correlated topic model of Science.pdf
....................\4、Gibbs sampling in the generative model of Latent Dirichlet Allocation.pdf
....................\5、 Finding scientific topics——revisited.pdf
....................\5、Finding scientific topics.pdf
....................\5、Finding scientific topics.pptx
....................\6、Parameter estimation for text analysis.pdf
....................\7、Probabilistic latent semantic analysis.pdf
....................\8、LDA-based document models for ad-hoc retrieval.pdf
....................\GibbsLDA++-0.2
....................\..............\GibbsLDA++-0.2
....................\..............\..............\Makefile
....................\..............\..............\README
....................\..............\..............\docs
....................\..............\..............\....\GibbsLDA++Manual.pdf
....................\..............\..............\....\index.html
....................\..............\..............\models
....................\..............\..............\......\casestudy
....................\..............\..............\......\.........\model-01800.others
....................\..............\..............\......\.........\model-01800.phi
....................\..............\..............\......\.........\model-01800.tassign
....................\..............\..............\......\.........\model-01800.theta
....................\..............\..............\......\.........\model-01800.twords
....................\..............\..............\......\.........\newdocs.dat
....................\..............\..............\......\.........\newdocs.dat.others
....................\..............\..............\......\.........\newdocs.dat.phi
....................\..............\..............\......\.........\newdocs.dat.tassign
....................\..............\..............\......\.........\newdocs.dat.theta
....................\..............\..............\......\.........\newdocs.dat.twords
....................\..............\..............\......\.........\trndocs.dat
....................\..............\..............\......\.........\wordmap.txt
....................\..............\..............\src
....................\..............\..............\...\Makefile
....................\..............\..............\...\constants.h
....................\..............\..............\...\dataset.cpp
....................\..............\..............\...\dataset.h
....................\..............\..............\...\dataset.o
....................\..............\..............\...\lda
....................\..............\..............\...\lda.cpp
....................\..............\..............\...\model.cpp
....................\..............\..............\...\model.h
....................\..............\..............\...\model.o
....................\..............\..............\...\strtokenizer.cpp
....................\..............\..............\...\strtokenizer.h
....................\..............\..............\...\strtokenizer.o
....................\..............\..............\...\utils.cpp
....................\..............\..............\...\utils.h
....................\..............\..............\...\utils.o
....................\GibbsLDA++-0.2.tar.gz