Machine Learning/HMM: Difference between revisions

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=== Implementations ===
=== Implementations ===
*[http://ghmm.sourceforge.net/ GHMM] (C)
*[http://ghmm.sourceforge.net/ GHMM] (C)
*[http://hmmer.janelia.org HMMER] (compiled C-apps for Protein (possibly speech) analysis)
*[http://www.logilab.org/912/ logilab-hmm] (Python)
*[http://www.logilab.org/912/ logilab-hmm] (Python)
*[http://www.cs.ubc.ca/~murphyk/Software/HMM/hmm.html HMM Toolbox] (MATLAB)
*[http://www.cs.ubc.ca/~murphyk/Software/HMM/hmm.html HMM Toolbox] (MATLAB)
*[http://code.google.com/p/jahmm/ jahmm] (Java)
*[http://code.google.com/p/jahmm/ jahmm] (Java)
** I found [http://www.mblondel.org/journal/2009/05/19/java-jruby-or-jython-for-scientific-computing-a-test-case-with-hidden-markov-models/ Mathieu Blondel's writeup] really helpful -- jahmm is a good package
==== R ====
* [http://cran.r-project.org/web/packages/HMM/index.html HMM]: very simple hidden markov models
* [http://cran.r-project.org/web/packages/hmm.discnp/index.html hmm.discnp]: allows observations of multiple runs
* [http://cran.r-project.org/web/packages/msm/index.html msm]: continuous time, with covariates, multiple runs
* Example
** [[Machine Learning/HMM R Example | example]]
** [[Machine_Learning/student_data.csv | student_data.csv]]

Latest revision as of 21:15, 4 August 2010

Hidden Markov Models[edit]

Papers/Tutorials[edit]

Implementations[edit]

R[edit]