文件名称:EM-for-HMM-Multivariate-Gaussian-processes
介绍说明－－下载内容均来自于网络，请自行研究使用
Expectation-Maximization algorithm for a HMM with Multivariate Gaussian measurement
Usage
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[logl , PI , A , M , S] = em_ghmm(Z , PI0 , A0 , M0 , S0 , [options])
Usage
-------
[logl , PI , A , M , S] = em_ghmm(Z , PI0 , A0 , M0 , S0 , [options])
(系统自动生成,下载前可以参看下载内容)
下载文件列表
em_ghmm.c
forward_backward.c
license.txt
likelihood_mvgm.c
mexme_em_ghmm.m
ndellipse.c
sample_ghmm.c
test_em_ghmm.m
forward_backward.c
license.txt
likelihood_mvgm.c
mexme_em_ghmm.m
ndellipse.c
sample_ghmm.c
test_em_ghmm.m