文件名称:hmmbox_4_1
介绍说明－－下载内容均来自于网络，请自行研究使用
the newer version from HMMbox 3.2
Matlab toolbox for Variational estimation Hidden Markov Models.
(Adapted from Hidden Markov Toolbox Version 3.3 01-Apr-99 and
Coupled Hidden Markov Toolbox Version 1.1 01-Feb-01
Copyright (c) by Iead Rezek, Oxford University)
The software uses some NETLAB routines
(see http://neural-server.aston.ac.uk/netlab/index.html
so you ll need to have NETLAB on your search path
See the file VERSION for what s new in this version.
The observation models has so far been implemented are
Gaussian, Poisson and Dirichlet
-the newer version from HMMbox 3.2
Matlab toolbox for Variational estimation Hidden Markov Models.
(Adapted from Hidden Markov Toolbox Version 3.3 01-Apr-99 and
Coupled Hidden Markov Toolbox Version 1.1 01-Feb-01
Copyright (c) by Iead Rezek, Oxford University)
The software uses some NETLAB routines
(see http://neural-server.aston.ac.uk/netlab/index.html
so you ll need to have NETLAB on your search path
See the file VERSION for what s new in this version.
The observation models has so far been implemented are
Gaussian, Poisson and Dirichlet
Matlab toolbox for Variational estimation Hidden Markov Models.
(Adapted from Hidden Markov Toolbox Version 3.3 01-Apr-99 and
Coupled Hidden Markov Toolbox Version 1.1 01-Feb-01
Copyright (c) by Iead Rezek, Oxford University)
The software uses some NETLAB routines
(see http://neural-server.aston.ac.uk/netlab/index.html
so you ll need to have NETLAB on your search path
See the file VERSION for what s new in this version.
The observation models has so far been implemented are
Gaussian, Poisson and Dirichlet
-the newer version from HMMbox 3.2
Matlab toolbox for Variational estimation Hidden Markov Models.
(Adapted from Hidden Markov Toolbox Version 3.3 01-Apr-99 and
Coupled Hidden Markov Toolbox Version 1.1 01-Feb-01
Copyright (c) by Iead Rezek, Oxford University)
The software uses some NETLAB routines
(see http://neural-server.aston.ac.uk/netlab/index.html
so you ll need to have NETLAB on your search path
See the file VERSION for what s new in this version.
The observation models has so far been implemented are
Gaussian, Poisson and Dirichlet
(系统自动生成,下载前可以参看下载内容)
下载文件列表
hmmbox_4_1\chmmsim.mat
..........\Contents.m
..........\DATA_STRUCTURE
..........\demdirichlet.mat
..........\demdirichlethmm.m
..........\demgauss.mat
..........\demgausshmm.m
..........\demgausshmm2.m
..........\digamma.m
..........\digamma.mexglx
..........\digamma.mexsol
..........\dirichlet_kl.m
..........\evalfreeenergy.m
..........\gaussmd.m
..........\gaussrnd.m
..........\gauss_kl.m
..........\hmmdecode.m
..........\hmmhsinit.m
..........\hmminit.m
..........\hmmsim.m
..........\hmmtrain.m
..........\hsinference.m
..........\hsupdate.m
..........\INSTALLATION
..........\mdist.m
..........\mdsum.m
..........\movmed.m
..........\multinomrnd.m
..........\obsinit.m
..........\obslike.m
..........\obsupdate.m
..........\rdiv.m
..........\README
..........\rsum.m
..........\sampgauss.m
..........\VERSION
..........\wgmmem.m
..........\wishart_kl.m
hmmbox_4_1
..........\Contents.m
..........\DATA_STRUCTURE
..........\demdirichlet.mat
..........\demdirichlethmm.m
..........\demgauss.mat
..........\demgausshmm.m
..........\demgausshmm2.m
..........\digamma.m
..........\digamma.mexglx
..........\digamma.mexsol
..........\dirichlet_kl.m
..........\evalfreeenergy.m
..........\gaussmd.m
..........\gaussrnd.m
..........\gauss_kl.m
..........\hmmdecode.m
..........\hmmhsinit.m
..........\hmminit.m
..........\hmmsim.m
..........\hmmtrain.m
..........\hsinference.m
..........\hsupdate.m
..........\INSTALLATION
..........\mdist.m
..........\mdsum.m
..........\movmed.m
..........\multinomrnd.m
..........\obsinit.m
..........\obslike.m
..........\obsupdate.m
..........\rdiv.m
..........\README
..........\rsum.m
..........\sampgauss.m
..........\VERSION
..........\wgmmem.m
..........\wishart_kl.m
hmmbox_4_1