MIT wearable computing source code, containing HMMall, LifeWear Annotation Tool, LifeWear Matlab Code, LifeWear_C four folders,

MIT code
........\HMMall
........\......\HMM
........\......\...\#fwdback.m#
........\......\...\#mhmm_em.m#
........\......\...\#README.txt#
........\......\...\dhmm_em.m
........\......\...\dhmm_em_demo.m
........\......\...\dhmm_em_online.m
........\......\...\dhmm_em_online_demo.m
........\......\...\dhmm_logprob.m
........\......\...\dhmm_logprob_brute_force.m
........\......\...\dhmm_logprob_path.m
........\......\...\dhmm_sample.m
........\......\...\dhmm_sample_endstate.m
........\......\...\fixed_lag_smoother.m
........\......\...\fixed_lag_smoother_demo.m
........\......\...\fwdback.m
........\......\...\fwdback.m~
........\......\...\fwdback_xi.m
........\......\...\fwdprop_backsample.m
........\......\...\fwdprop_backsample.m~
........\......\...\gausshmm_train_observed.m
........\......\...\herbert.txt~
........\......\...\mc_sample.m
........\......\...\mc_sample_endstate.m
........\......\...\mdp_sample.m
........\......\...\mhmmParzen_train_observed.m
........\......\...\mhmm_em.m
........\......\...\mhmm_em.m~
........\......\...\mhmm_em_demo.m
........\......\...\mhmm_logprob.m
........\......\...\mhmm_sample.m
........\......\...\mk_leftright_transmat.m
........\......\...\mk_rightleft_transmat.m
........\......\...\pomdp_sample.m
........\......\...\publishHMM.m
........\......\...\README.txt
........\......\...\README.txt~
........\......\...\testHMM.m
........\......\...\transmat_train_observed.m
........\......\...\viterbi_path.m
........\......\KPMstats
........\......\........\#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

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