Application Areas
Various efficient algorithms have been devised for estimating the parameters of the VOM model.
VOM models have been successfully applied to areas such as machine learning, information theory and bioinformatics, including specific applications such as coding and data compression, document compression, classification and identification of DNA and protein sequences, statistical process control, spam filtering and others.
Read more about this topic: Variable-order Markov Model
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