BNW using Octave instead of Matlab.

This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning.

I am calling this BNW_1.02. It can be accessed at:
compbio.uthsc.edu/BNW_1.02

1 files changed, 23 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/HMM/README.txt b/sourcecodes/bnt-master/HMM/README.txt
new file mode 100644
index 00000000..2e6ab78f
--- /dev/null
+++ b/sourcecodes/bnt-master/HMM/README.txt
@@ -0,0 +1,23 @@
+Hidden Markov Model (HMM) Toolbox written by Kevin Murphy (1998).
+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, 1989, Proc. IEEE 77(2):257--286.