M_Kalman\Kalman\AR_to_SS.m

........\......\convert_to_lagged_form.m

........\......\ensure_AR.m

........\......\eval_AR_perf.m

........\......\kalman_filter.m

........\......\kalman_forward_backward.m

........\......\kalman_smoother.m

........\......\kalman_update.m

........\......\learning_demo.m

........\......\learn_AR.m

........\......\learn_AR_diagonal.m

........\......\learn_kalman.m

........\......\README.txt

........\......\README.txt~

........\......\sample_lds.m

........\......\smooth_update.m

........\......\SS_to_AR.m

........\......\testKalman.m

........\......\tracking_demo.m

........\.PMstats\#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

........\........\CVS\Entries

........\........\...\Entries.Extra

........\........\...\Entries.Extra.Old

........\........\...\Entries.Old

........\........\...\Repository

........\........\...\Root

........\........\...\Template

........\........\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