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文件名称:npbayes

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    2015-12-17
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    58.5kb
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剑桥大学无参数贝叶斯课程的代码,主要包括狄利克雷过程,主题模型,无限混合高斯分布等-code of nonparametric bayesian cambridge, include dirichlet process, topic model, infinite mixutre gaussian
(系统自动生成,下载前可以参看下载内容)

下载文件列表

npbayes-r1/
npbayes-r1/.htaccess
npbayes-r1/COPYRIGHT
npbayes-r1/datasets/
npbayes-r1/datasets/genbars.m
npbayes-r1/datasets/gengaussian.m
npbayes-r1/datasets/README
npbayes-r1/distributions/
npbayes-r1/distributions/@GaussianWishart/
npbayes-r1/distributions/@GaussianWishart/adddata.m
npbayes-r1/distributions/@GaussianWishart/deldata.m
npbayes-r1/distributions/@GaussianWishart/GaussianWishart.m
npbayes-r1/distributions/@GaussianWishart/likelihood.m
npbayes-r1/distributions/@GaussianWishart/map.m
npbayes-r1/distributions/@GaussianWishart/marglikelihood.m
npbayes-r1/distributions/@GaussianWishart/private/
npbayes-r1/distributions/@GaussianWishart/private/incmaxeval.m
npbayes-r1/distributions/@Multinomial/
npbayes-r1/distributions/@Multinomial/adddata.m
npbayes-r1/distributions/@Multinomial/deldata.m
npbayes-r1/distributions/@Multinomial/display.m
npbayes-r1/distributions/@Multinomial/double.m
npbayes-r1/distributions/@Multinomial/length.m
npbayes-r1/distributions/@Multinomial/likelihood.m
npbayes-r1/distributions/@Multinomial/map.m
npbayes-r1/distributions/@Multinomial/marglikelihood.m
npbayes-r1/distributions/@Multinomial/Multinomial.m
npbayes-r1/distributions/@Multinomial/parameters.m
npbayes-r1/distributions/@Multinomial/private/
npbayes-r1/distributions/@Multinomial/private/incmax.m
npbayes-r1/distributions/@Multinomial/sample.m
npbayes-r1/distributions/@Multinomial/subsasgn.m
npbayes-r1/distributions/@Multinomial/subsref.m
npbayes-r1/distributions/adddist.m
npbayes-r1/distributions/cleardist.m
npbayes-r1/distributions/deldist.m
npbayes-r1/distributions/README
npbayes-r1/dpmix/
npbayes-r1/dpmix/dp_beta.m
npbayes-r1/dpmix/dp_conparam.m
npbayes-r1/dpmix/dp_crp.m
npbayes-r1/dpmix/dp_init.m
npbayes-r1/dpmix/dp_iterate.m
npbayes-r1/dpmix/dp_iterateconparam.m
npbayes-r1/dpmix/dp_kmeans.m
npbayes-r1/dpmix/dp_posterior.m
npbayes-r1/dpmix/dp_predict.m
npbayes-r1/dpmix/dp_samplepred.m
npbayes-r1/dpmix/dp_specialize.m
npbayes-r1/dpmix/dp_standardize.m
npbayes-r1/dpmix/README
npbayes-r1/hdpmix/
npbayes-r1/hdpmix/hdp2lda.m
npbayes-r1/hdpmix/hdp_beta.m
npbayes-r1/hdpmix/hdp_conparam.m
npbayes-r1/hdpmix/hdp_crf.m
npbayes-r1/hdpmix/hdp_init.m
npbayes-r1/hdpmix/hdp_iterate.m
npbayes-r1/hdpmix/hdp_iterateconparam.m
npbayes-r1/hdpmix/hdp_posterior.m
npbayes-r1/hdpmix/hdp_predict.m
npbayes-r1/hdpmix/hdp_specialize.m
npbayes-r1/hdpmix/hdp_standardize.m
npbayes-r1/hdpmix/hdpMultinomial_block.m
npbayes-r1/hdpmix/README
npbayes-r1/initpath.m
npbayes-r1/lda/
npbayes-r1/lda/lda2hdp.m
npbayes-r1/lda/lda_beta.m
npbayes-r1/lda/lda_conparam.m
npbayes-r1/lda/lda_crf.m
npbayes-r1/lda/lda_init.m
npbayes-r1/lda/lda_iterate.m
npbayes-r1/lda/lda_iterateconparam.m
npbayes-r1/lda/lda_posterior.m
npbayes-r1/lda/lda_predict.m
npbayes-r1/lda/lda_specialize.m
npbayes-r1/lda/lda_standardize.m
npbayes-r1/lda/ldaMultinomial_block.m
npbayes-r1/lda/README
npbayes-r1/mixtures/
npbayes-r1/mixtures/dpGaussianWishart.m
npbayes-r1/mixtures/estimateGaussianWishart.m
npbayes-r1/mixtures/hdpMultinomial.m
npbayes-r1/mixtures/ldaMultinomial.m
npbayes-r1/README
npbayes-r1/tests/
npbayes-r1/tests/testbars.m
npbayes-r1/tests/testdpmixGaussianWishart.m
npbayes-r1/tests/testpredict.m
npbayes-r1/tests/testrandconparam.m
npbayes-r1/utilities/
npbayes-r1/utilities/enumclass.m
npbayes-r1/utilities/imlayout.m
npbayes-r1/utilities/logmeanexp.m
npbayes-r1/utilities/meanlik.m
npbayes-r1/utilities/mysubplot.m
npbayes-r1/utilities/plotellipse.m
npbayes-r1/utilities/randbeta.m
npbayes-r1/utilities/randconparam.m
npbayes-r1/utilities/randconparam1.m
npbayes-r1/utilities/randconparam2.m
npbayes-r1/utilities/randconparam3.m
npbayes-r1/utilities/randcrp.m
npbayes-r1/utilities/randdir.m
npbayes-r1/utilities/randgamma.m
npbayes-r1/utilities/randmult.m
npbayes-r1/utilities/randnumtable.m
npbayes-r1/utilities/randstick.m
npbayes-r1/utilities/README
npbayes-r1/utilities/stirling.m

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