[Tutor] question on python!

[sachin mehra]

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From: "sachin mehra" <bindas_qwerty@hotmail.com>
To: dyoo@hkn.eecs.berkeley.edu
Cc: tutor@ptython.org
Bcc: 
Subject: Re: [Tutor] need some help for program!! [More hidden markov models in Python]
Date: Thu, 21 Nov 2002 05:28:21 +0530
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Hi Danny,
I had another question for you. I want to incorporate some unix commands in 
my python program.How can i do it? How about I want to execute 3-4 unix 
commands continuously??
Please let me know.
thanx,
Manish






>From: Danny Yoo <dyoo@hkn.eecs.berkeley.edu>
>To: sachin mehra <bindas_qwerty@hotmail.com>
>CC: tutor@python.org
>Subject: Re: [Tutor] need some help for program!!   [More hidden markov 
>models in Python]
>Date: Sun, 17 Nov 2002 23:47:18 -0800 (PST)
>
>
>
> > Again, the page at:
> >
> >     http://datamining.anu.edu.au/software/febrl/febrldoc/node7.html
> >
> > has an example that should help clarify why HMM's are appropriate for
> > your problem.
>
>Hi Sachin,
>
>Argh, darn it!  I can't help myself but look into your question some more.
>Why did you have to ask a question on such an interesting topic?  *grin* I
>have to control my curiosity or else I'll end up writing this program too.
>
>
>There's a great source of information on Hidden Markov Models in the
>source code of Logilab's 'hmm' module:
>
>     http://www.logilab.org/hmm/
>
>This is a Python module that implements HMM's, and is excellent.  You may
>need to install an extension called Numeric Python to get it to work, but
>it's definitely worth it:
>
>     http://www.pfdubois.com/numpy/
>
>
>There are some real gems in there, not just the module itself, but in the
>test cases they've embedded in the source code.  In particular, if we take
>a close look at the logilab.hmm.hmm.test2() function, we'll see that they
>train a Hidden Markov Model to recognize French sentences (and evaluate
>their likelihood!).  If you read and understand their test2() function,
>you should be able to apply that knowledge toward your problem.
>
>
>Another good source of information on HMM's includes the classic article,
>"A Tutorial on Hidden Markov Models and Selected Applications in Speech
>Recognition", by Lawrence R. Rabiner.  Here's a link to the paper:
>
>     http://www.cc.gatech.edu/ccg/paper_of_week/Rabiner-Markov.pdf
>
>I just read the first few pages, and my own fuzzy ideas about HMM's just
>became a lot clearer.
>
>
>Anyway, I must stop myself now, or else I won't be able to sleep.  This is
>why I hate seeing homework questions...
>
>Good luck to you.
>
>
>_______________________________________________
>Tutor maillist  -  Tutor@python.org
>http://mail.python.org/mailman/listinfo/tutor


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