Machine Learning/HMM

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(Created page with '== Hidden Markov Models == === Papers/Tutorials == === Implementations === *[http://ghmm.sourceforge.net/ GHMM] *[http://www.logilab.org/912/ logilab-hmm]')
 
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== Hidden Markov Models ==
 
== Hidden Markov Models ==
  
=== Papers/Tutorials ==
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=== Papers/Tutorials ===
 
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*[http://www.ece.ucsb.edu/Faculty/Rabiner/ece259/Reprints/tutorial%20on%20hmm%20and%20applications.pdf HMMs and Speech]
  
 
=== Implementations ===
 
=== Implementations ===
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*[http://ghmm.sourceforge.net/ GHMM] (C)
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*[http://hmmer.janelia.org HMMER] (compiled C-apps for Protein (possibly speech) analysis)
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*[http://www.logilab.org/912/ logilab-hmm] (Python)
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*[http://www.cs.ubc.ca/~murphyk/Software/HMM/hmm.html HMM Toolbox] (MATLAB)
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*[http://code.google.com/p/jahmm/ jahmm] (Java)
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** 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
  
*[http://ghmm.sourceforge.net/ GHMM]
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==== R ====
*[http://www.logilab.org/912/ logilab-hmm]
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* [http://cran.r-project.org/web/packages/HMM/index.html HMM]: very simple hidden markov models
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* [http://cran.r-project.org/web/packages/hmm.discnp/index.html hmm.discnp]: allows observations of multiple runs
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* [http://cran.r-project.org/web/packages/msm/index.html msm]: continuous time, with covariates, multiple runs
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* Example
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** [[Machine Learning/HMM R Example | example]]
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** [[Machine_Learning/student_data.csv | student_data.csv]]

Latest revision as of 21:15, 4 August 2010

Contents

[edit] Hidden Markov Models

[edit] Papers/Tutorials

[edit] Implementations

[edit] R

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