文 件 列 表
KPMstats
CVS
#histCmpChi2.m#
beta_sample.m
chisquared_histo.m
chisquared_prob.m
chisquared_readme.txt
chisquared_table.m
clg_Mstep.m
clg_Mstep_simple.m
clg_prob.m
condGaussToJoint.m
condgaussTrainObserved.m
condgauss_sample.m
cond_indep_fisher_z.m
convertBinaryLabels.m
cwr_demo.m
cwr_em.m
cwr_predict.m
cwr_prob.m
cwr_readme.txt
cwr_test.m
dirichletpdf.m
dirichletrnd.m
dirichlet_sample.m
distchck.m
eigdec.m
est_transmat.m
fit_paritioned_model_testfn.m
fit_partitioned_model.m
gamma_sample.m
gaussian_prob.m
gaussian_sample.m
histCmpChi2.m
histCmpChi2.m~
KLgauss.m
linear_regression.m
logist2.m
logist2Apply.m
logist2ApplyRegularized.m
logist2Fit.m
logist2FitRegularized.m
logistK.m
logistK_eval.m
marginalize_gaussian.m
matrix_normal_pdf.m
matrix_T_pdf.m
mc_stat_distrib.m
mixgauss_classifier_apply.m
mixgauss_classifier_train.m
mixgauss_em.m
mixgauss_init.m
mixgauss_Mstep.m
mixgauss_prob.m
mixgauss_prob_test.m
mixgauss_sample.m
mkPolyFvec.m
mk_unit_norm.m
multinomial_prob.m
multinomial_sample.m
multipdf.m
multirnd.m
normal_coef.m
partial_corr_coef.m
parzen.m
parzenC.c
parzenC.dll
parzenC.mexglx
parzenC_test.m
parzen_fit_select_unif.m
pca.m
README.txt
rndcheck.m
sample.m
sample_discrete.m
sample_gaussian.m
standardize.m
standardize.m~
student_t_logprob.m
student_t_prob.m
test_dir.m
unidrndKPM.m
unidrndKPM.m~
unif_discrete_sample.m
weightedRegression.m
