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'''Variable order Markov (VOM)''' Models are an important class of models that extend the well known [[Markov Chain]] Models. In contrast to the [[Markov Chain]] Models, where each random variable in a sequence with a [[Markov property]] depends on a fixed number of [[random variable]]s, in VOM models this number of conditioning [[random variable]]s may vary based on the specific observed realization.
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