chmmbox_1_2
所属分类：其他
开发工具：matlab
文件大小：804KB
下载次数：2
上传日期：2017-10-23 14:51:17
上 传 者：
azinaz
说明： Matlab toolbox for Coupled Hidden Markov Modelling using Max.Likelihood EM.
written by Rezek-part 1
文件列表:
chmmbox_1_2\chmmdecode.m (3190, 2001-07-20)
chmmbox_1_2\chmminit.m (3765, 2001-07-20)
chmmbox_1_2\chmmrandinit.m (454, 2001-02-16)
chmmbox_1_2\chmmsim.m (5784, 2001-02-16)
chmmbox_1_2\chmmsim.mat (38712, 2001-02-16)
chmmbox_1_2\chmmtrain.m (10209, 2001-07-20)
chmmbox_1_2\cobsinit.m (696, 2001-07-20)
chmmbox_1_2\Contents.m (1656, 2001-07-19)
chmmbox_1_2\DATA-STRUCTURE (2604, 2001-07-20)
chmmbox_1_2\demgausschmm.m (4687, 2001-07-19)
chmmbox_1_2\dirichlet.m (1322, 2001-02-14)
chmmbox_1_2\evalmodelprior.m (1032, 2001-07-20)
chmmbox_1_2\fhmmsim.m (2826, 2001-02-16)
chmmbox_1_2\gaussmd.m (969, 2001-06-01)
chmmbox_1_2\hmmdatainit.m (1257, 2001-02-16)
chmmbox_1_2\hmmdecode.m (2914, 2001-07-19)
chmmbox_1_2\hmmrandinit.m (1361, 2001-02-16)
chmmbox_1_2\hmmsim.m (2916, 2001-02-16)
chmmbox_1_2\INSTALLATION (95, 2001-07-19)
chmmbox_1_2\joinpdf.m (635, 2001-02-16)
chmmbox_1_2\mddiv.m (622, 2001-02-16)
chmmbox_1_2\mdprod.m (576, 2001-02-16)
chmmbox_1_2\mdsum.m (570, 2001-02-16)
chmmbox_1_2\multinom.m (528, 2001-02-16)
chmmbox_1_2\obslike.m (1221, 2001-07-19)
chmmbox_1_2\obsupdate.m (1921, 2001-07-20)
chmmbox_1_2\rdiv.m (273, 2001-07-19)
chmmbox_1_2\rprod.m (184, 2001-07-19)
chmmbox_1_2\rsum.m (117, 2001-07-19)
chmmbox_1_2\sampgauss.m (583, 2001-02-16)
chmmbox_1_2\sleep.mat (952280, 2001-02-16)
chmmbox_1_2\sleepdemo.m (2447, 2001-07-19)
chmmbox_1_2\VERSION (1363, 2001-07-19)
chmmbox_1_2\wgmmem.m (3379, 2001-07-19)
chmmbox_1_2\wishart.m (1602, 2001-06-01)
chmmbox_1_2 (0, 2017-08-24)
CHMMBOX, version 1.2, Iead Rezek, Oxford University, Feb 2001
Matlab toolbox for max. aposteriori estimation of two chain
Coupled 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.
Only the Gaussian observation models have so far been implemented.
DEMONSTRATIONS:
demgausschmm.m uses Gaussian observation model on AR features
To extend the CHMM to different observation models add the required
code into cobsinit, obslike and obsupdate.
ROUTINES:
Read the file Contents.m
DATA:
Read the file DATA-STRUCTURE.
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