Machine Learning/HMM: Difference between revisions
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* [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/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 | * [http://cran.r-project.org/web/packages/msm/index.html msm]: continuous time, with covariates, multiple runs | ||
* Example | |||
** [[Machine Learning/HMM Example | example]] | |||
** [[Machine_Learning/student_data.csv | student_data.csv]] | |||
Revision as of 21:15, 4 August 2010
Hidden Markov Models
Papers/Tutorials
Implementations
- GHMM (C)
- HMMER (compiled C-apps for Protein (possibly speech) analysis)
- logilab-hmm (Python)
- HMM Toolbox (MATLAB)
- jahmm (Java)
- I found Mathieu Blondel's writeup really helpful -- jahmm is a good package
R
- HMM: very simple hidden markov models
- hmm.discnp: allows observations of multiple runs
- msm: continuous time, with covariates, multiple runs
- Example