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Variable-order Markov model

In the mathematical theory of stochastic processes, 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 variables, in VOM models this number of…

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Variable-order Markov model

Nodes30
Edges29
Triples15
Avg. degree1.93
Density0.066667
Components1

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vom markov models probability sequence conditional chain order model components estimate displaystyle random number variables pr context string next character

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SubjectPredicateObjectConfidenceSrc
machine learninginstance ofApplication areasVarious efficient algorithms have been devised for estimating the parameters of the VOM model.VOM models have been successfully applied to areas0.80text
information theoryinstance ofApplication areasVarious efficient algorithms have been devised for estimating the parameters of the VOM model.VOM models have been successfully applied to areas0.80text
bioinformaticsinstance ofApplication areasVarious efficient algorithms have been devised for estimating the parameters of the VOM model.VOM models have been successfully applied to areas0.80text
including specific applications such as codinginstance ofApplication areasVarious efficient algorithms have been devised for estimating the parameters of the VOM model.VOM models have been successfully applied to areas0.80text
data compressioninstance ofApplication areasVarious efficient algorithms have been devised for estimating the parameters of the VOM model.VOM models have been successfully applied to areas0.80text
document compressioninstance ofApplication areasVarious efficient algorithms have been devised for estimating the parameters of the VOM model.VOM models have been successfully applied to areas0.80text
classificationinstance ofApplication areasVarious efficient algorithms have been devised for estimating the parameters of the VOM model.VOM models have been successfully applied to areas0.80text
identification of DNAinstance ofApplication areasVarious efficient algorithms have been devised for estimating the parameters of the VOM model.VOM models have been successfully applied to areas0.80text
protein sequencesinstance ofApplication areasVarious efficient algorithms have been devised for estimating the parameters of the VOM model.VOM models have been successfully applied to areas0.80text
statistical process controlinstance ofApplication areasVarious efficient algorithms have been devised for estimating the parameters of the VOM model.VOM models have been successfully applied to areas0.80text
spam filteringinstance ofApplication areasVarious efficient algorithms have been devised for estimating the parameters of the VOM model.VOM models have been successfully applied to areas0.80text
haplotypinginstance ofApplication areasVarious efficient algorithms have been devised for estimating the parameters of the VOM model.VOM models have been successfully applied to areas0.80text

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