# Machine Learning/HMM

From Noisebridge

< Machine Learning(Difference between revisions)

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*[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 ==== | ==== R ==== |

## Revision as of 21:03, 4 August 2010

## Contents |

## 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