文件名称:lda-0.2-matlab.tar
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lda的matlab实现,lda is a Latent Dirichlet Allocation (Blei et al., 2001) package written both in MATLAB and C (command line interface).
This package provides only a standard variational Bayes estimation that was first proposed, but has a simple textual data format that is almost the same as SVMlight or TinySVM.
This package can be used as an aid to understand LDA, or simply as a regularized alternative to PLSI, which has a severe overfitting problem due to its maximum likelihood structure.
For advanced users who wish to benefit from the latest result, consider using npbayes or MPCA: though, they have data formats different from above.-lda is a Latent Dirichlet Allocation (Blei et al., 2001) package written both in MATLAB and C (command line interface).
This package provides only a standard variational Bayes estimation that was first proposed, but has a simple textual data format that is almost the same as SVMlight or TinySVM.
This package can be used as an aid to understand LDA, or simply as a regularized alternative to PLSI, which has a severe overfitting problem due to its maximum likelihood structure.
For advanced users who wish to benefit from the latest result, consider using npbayes or MPCA: though, they have data formats different from above.
This package provides only a standard variational Bayes estimation that was first proposed, but has a simple textual data format that is almost the same as SVMlight or TinySVM.
This package can be used as an aid to understand LDA, or simply as a regularized alternative to PLSI, which has a severe overfitting problem due to its maximum likelihood structure.
For advanced users who wish to benefit from the latest result, consider using npbayes or MPCA: though, they have data formats different from above.-lda is a Latent Dirichlet Allocation (Blei et al., 2001) package written both in MATLAB and C (command line interface).
This package provides only a standard variational Bayes estimation that was first proposed, but has a simple textual data format that is almost the same as SVMlight or TinySVM.
This package can be used as an aid to understand LDA, or simply as a regularized alternative to PLSI, which has a severe overfitting problem due to its maximum likelihood structure.
For advanced users who wish to benefit from the latest result, consider using npbayes or MPCA: though, they have data formats different from above.
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下载文件列表
lda-0.2-matlab/
lda-0.2-matlab/accum_beta.m
lda-0.2-matlab/assert.m
lda-0.2-matlab/AUTHOR
lda-0.2-matlab/converged.m
lda-0.2-matlab/diff_vec.m
lda-0.2-matlab/features.m
lda-0.2-matlab/fmatrix.m
lda-0.2-matlab/isint.m
lda-0.2-matlab/lda.m
lda-0.2-matlab/lda_lik.m
lda-0.2-matlab/lda_ppl.m
lda-0.2-matlab/ldamain.m
lda-0.2-matlab/mnormalize.m
lda-0.2-matlab/newton_alpha.m
lda-0.2-matlab/normalize.m
lda-0.2-matlab/README
lda-0.2-matlab/rtime.m
lda-0.2-matlab/train
lda-0.2-matlab/vbem.m
lda-0.2-matlab/accum_beta.m
lda-0.2-matlab/assert.m
lda-0.2-matlab/AUTHOR
lda-0.2-matlab/converged.m
lda-0.2-matlab/diff_vec.m
lda-0.2-matlab/features.m
lda-0.2-matlab/fmatrix.m
lda-0.2-matlab/isint.m
lda-0.2-matlab/lda.m
lda-0.2-matlab/lda_lik.m
lda-0.2-matlab/lda_ppl.m
lda-0.2-matlab/ldamain.m
lda-0.2-matlab/mnormalize.m
lda-0.2-matlab/newton_alpha.m
lda-0.2-matlab/normalize.m
lda-0.2-matlab/README
lda-0.2-matlab/rtime.m
lda-0.2-matlab/train
lda-0.2-matlab/vbem.m
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