HIDDEN MARKOV MODEL PROGRAM

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Hi,

I need help about how creating a machine learning algoritm.
There'll be a file contains many observation sequences such as;

0-1-0-1-0-0-0-0

Program reads thousands of lines similar to example sequence and takes the number of states in the model from user. By using this information, it will create model which includes states transition,initial state and observations appear probabilites. And I should use Baum Welch method for it.
Are there anyone to help me about it?

Posted 8-Dec-11 11:53am

Çağlar Tolga Tetik

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Sergey Alexandrovich Kryukov 8-Dec-11 18:33pm

Baum-Welch. These are two different guys. What have you done already? The problem looks serious enough... Are you familiar with the theory and literature already? Do you understand HMM, the problem of hidden states?

Nobody can even start thinking about helping you without understanding of your level of knowledge and more detail on your problem. You need to formalize the problem well, get an idea of algorithms, etc., all of it well before getting to the programming itself...

--SA

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TorstenH. · Answer 1 · 2011-12-08T21:04:00

Solution 1

Just to get things right:
the HMM algorithm[^] aka Baum-Welch Model

Seems like there is a Java-lib available: JHAMM[^]

Posted 8-Dec-11 21:04pm

TorstenH.

HIDDEN MARKOV MODEL PROGRAM

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HIDDEN MARKOV MODEL PROGRAM

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