Hidden Markov model: Difference between revisions

Revision as of 13:24, 10 November 2003

Revision as of 17:22, 25 February 2004

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[[de:HMM]]

A '''hidden Markov model''' ('''HMM''') is a [[statistical model]] where the system being modelled is assumed to be a [[Markov process]] with unknown parameters, and the challenge is to determine the hidden parameters, from the [[observable]] parameters, based on this assumption. The extracted model parameters can then be used to perform further analysis, for example for [[pattern recognition]] applications.

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* http://www.zaik.uni-koeln.de/~hmm/ghmm/

* [http://citeseer.nj.nec.com/seymore99learning.html Learning Hidden Markov Model Structure for Information Extraction]

[[de:Hidden Markov Model]]