FullBNT
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：5926KB
下载次数：248
上传日期：2008-08-09 15:16:18
上 传 者：
shelly0809
说明： 用matlab实现贝叶斯网络的学习、推理。
(Bayesian network using matlab realize learning, reasoning.)
文件列表:
FullBNT\ChangeLog (157128, 2007-02-12)
FullBNT\netlabKPM\demgmm1_movie.m (3208, 2005-04-27)
FullBNT\netlabKPM\evidence_weighted.m (3539, 2005-04-27)
FullBNT\netlabKPM\glmerr_weighted.m (1766, 2005-04-27)
FullBNT\netlabKPM\glmgrad_weighted.m (1186, 2005-04-27)
FullBNT\netlabKPM\glmhess_weighted.m (1938, 2005-04-27)
FullBNT\netlabKPM\glmtrain_weighted.m (4656, 2005-04-27)
FullBNT\netlabKPM\gmm1.avi (93696, 2005-04-27)
FullBNT\netlabKPM\gmmem2.m (5409, 2005-04-27)
FullBNT\netlabKPM\gmmem_multi_restart.m (2557, 2005-04-27)
FullBNT\netlabKPM\kmeans_demo.m (1974, 2005-04-27)
FullBNT\netlabKPM\mlperr_weighted.m (2085, 2005-04-27)
FullBNT\netlabKPM\mlpgrad_weighted.m (1283, 2005-04-27)
FullBNT\netlabKPM\mlphdotv_weighted.m (1984, 2005-04-27)
FullBNT\netlabKPM\mlphess_weighted.m (1727, 2005-04-27)
FullBNT\netlabKPM\neterr_weighted.m (791, 2005-04-27)
FullBNT\netlabKPM\netgrad_weighted.m (569, 2005-04-27)
FullBNT\netlabKPM\nethess_weighted.m (833, 2005-04-27)
FullBNT\netlabKPM\netopt_weighted.m (1770, 2005-04-27)
FullBNT\netlabKPM\process_options.m (4526, 2005-04-27)
FullBNT\netlabKPM\CVS\Entries (1067, 2007-02-12)
FullBNT\netlabKPM\CVS\Repository (18, 2007-02-12)
FullBNT\netlabKPM\CVS\Root (51, 2007-02-12)
FullBNT\netlabKPM\CVS (0, 2007-05-21)
FullBNT\netlabKPM (0, 2007-05-21)
FullBNT\netlab3.3\conffig.m (971, 2005-04-27)
FullBNT\netlab3.3\confmat.m (1405, 2005-04-27)
FullBNT\netlab3.3\conjgrad.m (4883, 2005-04-27)
FullBNT\netlab3.3\consist.m (2694, 2005-04-27)
FullBNT\netlab3.3\Contents.m (11348, 2005-04-27)
FullBNT\netlab3.3\convertoldnet.m (750, 2005-04-27)
FullBNT\netlab3.3\datread.m (2710, 2005-04-27)
FullBNT\netlab3.3\datwrite.m (1185, 2005-04-27)
FullBNT\netlab3.3\dem2ddat.m (1410, 2005-05-09)
FullBNT\netlab3.3\demard.m (6332, 2005-04-27)
FullBNT\netlab3.3\demev1.m (5657, 2005-04-27)
FullBNT\netlab3.3\demev2.m (8448, 2005-04-27)
FullBNT\netlab3.3\demev3.m (5872, 2005-04-27)
FullBNT\netlab3.3\demgauss.m (2346, 2005-04-27)
... ...
Hidden Markov Model (HMM) Toolbox written by Kevin Murphy (19***).
See http://www.ai.mit.edu/~murphyk/Software/hmm.html for details.
Models
------
dhmm = HMM with discrete output
mhmm = HMM with mixture of Gaussians output;
Use mhmm with M=1 components to simulate an HMM with a single Gaussian output.
Demos
-----
mhmm_em_demo
dhmm_em_demo
dhmm_em_online_demo
fixed_lag_smoother_demo
References
-----------
See "A tutorial on Hidden Markov Models and selected applications in speech recognition",
L. Rabiner, 1***9, Proc. IEEE 77(2):257--286.
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