About: Hidden Markov model

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Hidden Markov Model (HMM) is a statistical Markov model in which the system being modeled is assumed to be a Markov process — call it — with unobservable ("hidden") states. As part of the definition, HMM requires that there be an observable process whose outcomes are "influenced" by the outcomes of in a known way. Since cannot be observed directly, the goal is to learn about by observing HMM has an additional requirement that the outcome of at time may be "influenced" exclusively by the outcome of at and that the outcomes of and at must not affect the outcome of at

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rdf:type	Thing person
rdfs:label	Hidden Markov model (en)
rdfs:comment	Hidden Markov Model (HMM) is a statistical Markov model in which the system being modeled is assumed to be a Markov process — call it — with unobservable ("hidden") states. As part of the definition, HMM requires that there be an observable process whose outcomes are "influenced" by the outcomes of in a known way. Since cannot be observed directly, the goal is to learn about by observing HMM has an additional requirement that the outcome of at time may be "influenced" exclusively by the outcome of at and that the outcomes of and at must not affect the outcome of at (en)
sameAs	Hidden Markov model Hidden Markov model Hidden Markov model
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Subject	Articles with example Python (programming language) code Bioinformatics Markov models Hidden Markov models
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gold:hypernym	Model
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