Variable-order Markov model: Difference between revisions

Revision as of 22:15, 20 April 2007

Revision as of 22:19, 20 April 2007

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Various efficient algorithms were devised for estimating the parameters of the VOM model [3].

VOM models were successfully applied to areas such as [[Machine learning]], [[Information theory]] and [[Bioinformatics]] including specific applications such as [[coding|code|coding]] and [[data compression]] [1] document compression [3], classification and identification of [[DNA]] and [[protein sequences|protein sequences]] [2] [[Statistical Process Control]] [4] and more.

==See also==