127117

所属分类:图形图象
开发工具:matlab
文件大小:2175KB
下载次数:0
上传日期:2017-05-17 04:29:46
上 传 者Reeecca
说明:  Based on the matlab the bayes net toolbox, hope everybody can help some

文件列表:
ChangeLog (157128, 2007-02-12)
CVS (0, 2017-05-15)
CVS\Entries (44, 2007-02-12)
CVS\Entries.Log (159, 2007-02-12)
CVS\Repository (8, 2007-02-12)
CVS\Root (51, 2007-02-12)
graph (0, 2017-05-15)
GraphViz (0, 2017-05-15)
GraphViz\approxeq.m (468, 2003-07-28)
GraphViz\arrow.m (53423, 2003-03-28)
GraphViz\CVS (0, 2017-05-15)
GraphViz\CVS\Entries (739, 2007-02-12)
GraphViz\CVS\Entries.Log (12, 2007-02-12)
GraphViz\CVS\Repository (17, 2007-02-12)
GraphViz\CVS\Root (51, 2007-02-12)
GraphViz\dot_to_graph.m (5168, 2004-03-12)
GraphViz\draw_dbn.m (2167, 2002-05-29)
GraphViz\draw_dbn_test.m (1375, 2003-01-18)
GraphViz\draw_dot.m (3642, 2004-05-05)
GraphViz\draw_graph.m (7888, 2004-03-22)
GraphViz\draw_graph_test.m (873, 2003-01-20)
GraphViz\draw_hmm.m (2805, 2003-02-05)
GraphViz\editGraphGUI.m (667, 2004-01-27)
GraphViz\graph_to_dot.m (2679, 2004-06-15)
GraphViz\make_layout.m (3338, 2002-05-29)
GraphViz\my_call.m (181, 2004-01-27)
GraphViz\Old (0, 2017-05-15)
GraphViz\Old\CVS (0, 2017-05-15)
GraphViz\Old\CVS\Entries (259, 2007-02-12)
GraphViz\Old\CVS\Repository (21, 2007-02-12)
GraphViz\Old\CVS\Root (51, 2007-02-12)
GraphViz\Old\dot_to_graph.m (5105, 2004-01-27)
GraphViz\Old\draw_dot.m (1062, 2004-01-27)
GraphViz\Old\draw_graph.m (7348, 2004-01-27)
GraphViz\Old\graphToDot.m (2655, 2004-02-03)
GraphViz\Old\pre_pesha_graph_to_dot.m (3903, 2004-01-27)
GraphViz\process_options.m (4526, 2003-07-28)
graph\acyclic.m (635, 2005-08-29)
graph\assignEdgeNums.m (670, 2005-08-29)
... ...

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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