[ml] Hidden Markov model libraries?

[Eric Glover]

As sad as it is I don't know off hand, but I have a few specific 
suggestions:

I have not personally used those below
#1: http://www.cs.cornell.edu/People/tj/svm_light/svm_hmm.html
I have used - and regularly use code from Thorsten so I know it is easy 
to work with hence the link above.

#2: Here are some relevant refs from the following paper:

[3]. Baum, L.E. and Petrie, T. Statistical inference for
probabilistic functions of finite state Markov chains.
Annals of Mathematical Statistics, (1966), 1554-1563.

[4]. Hofmann, F., Heyer, P. and Hommel, G. Velocity Profile
Based Recognition of Dynamic Gestures with Discrete
Hidden Markov Models. Proc. of the International
Gesture Workshop on Gesture and Sign Language in
Human-Computer Interaction, Springer London (2004),
81–95.

[8]. M¨antyl¨a, V. M. Discrete hidden Markov models with
application to isolated user-dependent hand gesture
recognition. VTT Publications (2001)

[9]. Rabiner, L.R. A Tutorial on Hidden Markov Models and
Selected Applications in Speech Recognition. Proc. of
the IEEE, IEEE (1989), 257–286.



Josh Myer wrote:
> On Mon, Jun 15, 2009 at 04:19:52PM -0700, Michael C. Toren wrote:
>> I was unfortunately out of town when ML Wednesday covered Hidden Markov
>> models.  During those sessions, was there a particular library we focused
>> on, or found particularly useful for HMMs, which we'd like to use again
>> for the wiimote project?  I thought I'd ask for suggestions here first,
>> before I go ahead and try out a whole bunch of them...
>>
> 
> I don't have any preferences here, but I've only done trivial HMMs
> using my own code.  
> 
> http://ghmm.sourceforge.net/ looks pretty promising, and is still
> relatively alive.