文件名称:HMMcode
介绍说明－－下载内容均来自于网络，请自行研究使用
包含HMM中的一些关键算法，可直接调用，对于建模有帮助。 -Some important HMM algorithms are included,which can be called directly for modeling.It is helpful to make a model.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
HMMcode
.......\HMM
.......\...\approxeq.m
.......\...\consist.m
.......\...\dist2.m
.......\...\em_converged.m
.......\...\enumerate_loglik.m
.......\...\Examples
.......\...\........\fixed_lag_demo.m
.......\...\........\learn_dhmm_demo.m
.......\...\........\learn_mhmm_demo.m
.......\...\........\online_em_demo.m
.......\...\fhmm_infer.m
.......\...\fixed_lag_smoother.m
.......\...\forwards.m
.......\...\forwards_backwards.m
.......\...\gaussian_prob.m
.......\...\gmm.m
.......\...\gmminit.m
.......\...\init_mhmm.m
.......\...\kmeans.m
.......\...\learn_hmm.m
.......\...\learn_mhmm.m
.......\...\mk_dhmm_obs_lik.m
.......\...\mk_fhmm_topology.m
.......\...\mk_ghmm_obs_lik.m
.......\...\mk_mhmm_obs_lik.m
.......\...\mk_stochastic.m
.......\...\normalise.m
.......\...\Old
.......\...\...\example1.m
.......\...\...\fixed_lag_smoother.m
.......\...\...\learn_hmm.m
.......\...\...\online_em.m
.......\...\...\online_em_hmm_demo.m
.......\...\...\online_em_pomdp_demo.m
.......\...\...\sample_markov_chain.m
.......\...\online_em.m
.......\...\prob_path.m
.......\...\README
.......\...\sample_dhmm.m
.......\...\sample_discrete.m
.......\...\sample_mc.m
.......\...\sample_mdp.m
.......\...\sample_mhmm.m
.......\...\sample_pomdp.m
.......\...\viterbi_path.m
.......\HMM
.......\...\approxeq.m
.......\...\consist.m
.......\...\dist2.m
.......\...\em_converged.m
.......\...\enumerate_loglik.m
.......\...\Examples
.......\...\........\fixed_lag_demo.m
.......\...\........\learn_dhmm_demo.m
.......\...\........\learn_mhmm_demo.m
.......\...\........\online_em_demo.m
.......\...\fhmm_infer.m
.......\...\fixed_lag_smoother.m
.......\...\forwards.m
.......\...\forwards_backwards.m
.......\...\gaussian_prob.m
.......\...\gmm.m
.......\...\gmminit.m
.......\...\init_mhmm.m
.......\...\kmeans.m
.......\...\learn_hmm.m
.......\...\learn_mhmm.m
.......\...\mk_dhmm_obs_lik.m
.......\...\mk_fhmm_topology.m
.......\...\mk_ghmm_obs_lik.m
.......\...\mk_mhmm_obs_lik.m
.......\...\mk_stochastic.m
.......\...\normalise.m
.......\...\Old
.......\...\...\example1.m
.......\...\...\fixed_lag_smoother.m
.......\...\...\learn_hmm.m
.......\...\...\online_em.m
.......\...\...\online_em_hmm_demo.m
.......\...\...\online_em_pomdp_demo.m
.......\...\...\sample_markov_chain.m
.......\...\online_em.m
.......\...\prob_path.m
.......\...\README
.......\...\sample_dhmm.m
.......\...\sample_discrete.m
.......\...\sample_mc.m
.......\...\sample_mdp.m
.......\...\sample_mhmm.m
.......\...\sample_pomdp.m
.......\...\viterbi_path.m