文件名称:mattjj-matlab-hsmm-40a597a
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 15kb
- 下载次数：
- 0次
- 提 供 者：
- 肖*
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
Bayesian-HSMM
it is very useful. in fact, it extended tranditional HSMM. it contains a example, if you want to used it, please run demo.-a matalab code based on Bayesian-HSMM. it is very useful. in fact, it extended tranditional HSMM. it contains a example, if you want to used it, please run demo.
it is very useful. in fact, it extended tranditional HSMM. it contains a example, if you want to used it, please run demo.-a matalab code based on Bayesian-HSMM. it is very useful. in fact, it extended tranditional HSMM. it contains a example, if you want to used it, please run demo.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
mattjj-matlab-hsmm-40a597a
..........................\+durations
..........................\..........\.svn
..........................\..........\....\entries
..........................\..........\....\text-base
..........................\..........\....\.........\poisson.m.svn-base
..........................\..........\poisson.m
..........................\+observations
..........................\.............\.svn
..........................\.............\....\entries
..........................\.............\....\text-base
..........................\.............\....\.........\gaussian.m.svn-base
..........................\.............\gaussian.m
..........................\+util
..........................\.....\.svn
..........................\.....\....\entries
..........................\.....\....\text-base
..........................\.....\....\.........\logsumexp.m.svn-base
..........................\.....\....\.........\plot_gaussian_2D.m.svn-base
..........................\.....\....\.........\print_dot.m.svn-base
..........................\.....\....\.........\sample_discrete.m.svn-base
..........................\.....\logsumexp.m
..........................\.....\plot_gaussian_2D.m
..........................\.....\print_dot.m
..........................\.....\sample_discrete.m
..........................\README.mkd
..........................\demo.m
..........................\hsmm.m
..........................\initial_state.m
..........................\states.m
..........................\transitions.m