BNW using Octave instead of Matlab.

This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning.

I am calling this BNW_1.02. It can be accessed at:
compbio.uthsc.edu/BNW_1.02

3 files changed, 82 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/KPMstats/CVS/Entries b/sourcecodes/bnt-master/KPMstats/CVS/Entries
new file mode 100644
index 00000000..9e8985ba
--- /dev/null
+++ b/sourcecodes/bnt-master/KPMstats/CVS/Entries
@@ -0,0 +1,80 @@
+/KLgauss.m/1.1.1.1/Tue Apr 26 02:29:16 2005//
+/README.txt/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/beta_sample.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/chisquared_histo.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/chisquared_prob.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/chisquared_readme.txt/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/chisquared_table.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/clg_Mstep.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/clg_Mstep_simple.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/clg_prob.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/condGaussToJoint.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/cond_indep_fisher_z.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/condgaussTrainObserved.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/condgauss_sample.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/convertBinaryLabels.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/cwr_demo.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/cwr_em.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/cwr_predict.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/cwr_prob.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/cwr_readme.txt/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/cwr_test.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/dirichlet_sample.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/dirichletpdf.m/1.1.1.1/Sun May 22 23:32:18 2005//
+/dirichletrnd.m/1.1.1.1/Sun May 22 23:32:12 2005//
+/distchck.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/eigdec.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/est_transmat.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/fit_paritioned_model_testfn.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/fit_partitioned_model.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/gamma_sample.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/gaussian_prob.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/gaussian_sample.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/histCmpChi2.m/1.1.1.1/Tue May  3 20:18:16 2005//
+/linear_regression.m/1.1.1.1/Tue Apr 26 02:29:18 2005//
+/logist2.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/logist2Apply.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/logist2ApplyRegularized.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/logist2Fit.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/logist2FitRegularized.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/logistK.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/logistK_eval.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/marginalize_gaussian.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/matrix_T_pdf.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/matrix_normal_pdf.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/mc_stat_distrib.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/mixgauss_Mstep.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/mixgauss_classifier_apply.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/mixgauss_classifier_train.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/mixgauss_em.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/mixgauss_init.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/mixgauss_prob.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/mixgauss_prob_test.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/mixgauss_sample.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/mkPolyFvec.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/mk_unit_norm.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/multinomial_prob.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/multinomial_sample.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/multipdf.m/1.1.1.1/Sun May 22 23:32:42 2005//
+/multirnd.m/1.1.1.1/Sun May 22 23:32:38 2005//
+/normal_coef.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/partial_corr_coef.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/parzen.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/parzenC.c/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/parzenC.dll/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/parzenC.mexglx/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/parzenC_test.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/parzen_fit_select_unif.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/pca.m/1.1.1.1/Tue Apr 26 02:29:20 2005//
+/rndcheck.m/1.1.1.1/Tue Apr 26 02:29:22 2005//
+/sample.m/1.1.1.1/Tue Apr 26 02:29:22 2005//
+/sample_discrete.m/1.1.1.1/Tue Apr 26 02:29:22 2005//
+/sample_gaussian.m/1.1.1.1/Tue Apr 26 02:29:22 2005//
+/standardize.m/1.1.1.1/Wed May  4 04:35:36 2005//
+/student_t_logprob.m/1.1.1.1/Tue Apr 26 02:29:22 2005//
+/student_t_prob.m/1.1.1.1/Tue Apr 26 02:29:22 2005//
+/test_dir.m/1.1.1.1/Sun May 22 23:32:20 2005//
+/unidrndKPM.m/1.1.1.1/Tue May 31 18:19:24 2005//
+/unif_discrete_sample.m/1.1.1.1/Tue Apr 26 02:29:22 2005//
+/weightedRegression.m/1.1.1.1/Tue Apr 26 02:29:22 2005//
+D
diff --git a/sourcecodes/bnt-master/KPMstats/CVS/Repository b/sourcecodes/bnt-master/KPMstats/CVS/Repository
new file mode 100644
index 00000000..55a108ab
--- /dev/null
+++ b/sourcecodes/bnt-master/KPMstats/CVS/Repository
@@ -0,0 +1 @@
+FullBNT/KPMstats
diff --git a/sourcecodes/bnt-master/KPMstats/CVS/Root b/sourcecodes/bnt-master/KPMstats/CVS/Root
new file mode 100644
index 00000000..f3bd14a6
--- /dev/null
+++ b/sourcecodes/bnt-master/KPMstats/CVS/Root
@@ -0,0 +1 @@
+:ext:nsaunier@bnt.cvs.sourceforge.net:/cvsroot/bnt