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CVS
CVS
 
 
README.txt
README.txt
 
 
demgmm1_movie.m
demgmm1_movie.m
 
 
evidence_weighted.m
evidence_weighted.m
 
 
glmerr_weighted.m
glmerr_weighted.m
 
 
glmgrad_weighted.m
glmgrad_weighted.m
 
 
glmhess_weighted.m
glmhess_weighted.m
 
 
glmtrain_weighted.m
glmtrain_weighted.m
 
 
gmm1.avi
gmm1.avi
 
 
gmmem2.m
gmmem2.m
 
 
gmmem_multi_restart.m
gmmem_multi_restart.m
 
 
kmeans_demo.m
kmeans_demo.m
 
 
mlperr_weighted.m
mlperr_weighted.m
 
 
mlpgrad_weighted.m
mlpgrad_weighted.m
 
 
mlphdotv_weighted.m
mlphdotv_weighted.m
 
 
mlphess_weighted.m
mlphess_weighted.m
 
 
neterr_weighted.m
neterr_weighted.m
 
 
netgrad_weighted.m
netgrad_weighted.m
 
 
nethess_weighted.m
nethess_weighted.m
 
 
netopt_weighted.m
netopt_weighted.m
 
 
process_options.m
process_options.m
 
 

README.txt

This directory contains some small modifications/additions to
netlab, http://www.ncrg.aston.ac.uk/netlab/.

- gmmem2 allows a prior on the covariance, and lets you visualize
intermediate results of the learning
- gmmem_multi_restart is self-explanatory

All the _weighted functions were written by Pierpaolo Brutti.
They are needed by BNT (softmax_CPD  and mlp_CPD
maximize_params method).