Variable-order Markov model: Difference between revisions

Revision as of 13:38, 20 April 2007

Revision as of 21:55, 20 April 2007

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==Application Areas==

Various efficient algorithms were devised for estimating the parameters of the VOM model [3]. The
VOM models were successfully applied to areas such as Machine learning, Information theory and Bioinformatics including specific applications such as coding and data compression [1] document compression [3], classification and identification of DNA and protein sequences [2] Statistical Process Control [4] and more.

==See also==