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authorziejd22018-03-14 23:23:33 -0500
committerGitHub2018-03-14 23:23:33 -0500
commit1ff6baa44e22b91eefb48aea6f3befa078c0489b (patch)
treee0fd79d2e32fd2aedda2eadaed0f19af3514c520 /sourcecodes/bnt-master/docs/supportedModels.html
parent6882395afdadf4e982b25b5215071a0932730950 (diff)
parentc80226899f5cdd9f11c163817d59445213f5bef0 (diff)
downloadBNW-1ff6baa44e22b91eefb48aea6f3befa078c0489b.tar.gz
Merge pull request #1 from ziejd2/octave_php_separate
Octave php separate
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+ <h2><a name="models">Supported probabilistic models</h2> 
+<p> 
+It is trivial to implement all of
+the following probabilistic models using the toolbox.
+<ul> 
+<li>Static
+<ul> 
+<li> Linear regression, logistic regression, hierarchical mixtures of experts
+ 
+<li> Naive Bayes classifiers, mixtures of Gaussians,
+sigmoid belief nets
+ 
+<li> Factor analysis, probabilistic
+PCA, probabilistic ICA, mixtures of these models
+ 
+</ul> 
+ 
+<li>Dynamic
+<ul> 
+ 
+<li> HMMs, Factorial HMMs, coupled HMMs, input-output HMMs, DBNs
+ 
+<li> Kalman filters, ARMAX models, switching Kalman filters,
+tree-structured Kalman filters, multiscale AR models
+ 
+</ul> 
+ 
+<li> Many other combinations, for which there are (as yet) no names!
+ 
+</ul> 
+ 
+ 
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