Decoding algorithm for binary linear hidden Markov models represented in the form of algebraic Bayesian networks | Zendy

Alexander Lvovich Tulupyev | Zendy; Andrey Alexandrovich Filchenkov | Zendy; Anton Mikhailovich Alexeyev | Zendy

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Decoding algorithm for binary linear hidden Markov models represented in the form of algebraic Bayesian networks

Author(s) -

Alexander Lvovich Tulupyev,

Andrey Alexandrovich Filchenkov,

Anton Mikhailovich Alexeyev

Publication year - 2014

Publication title -

spiiras proceedings

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.242

H-Index - 9

eISSN - 2078-9599

pISSN - 2078-9181

DOI - 10.15622/sp.24.11

Subject(s) - computer science , hidden markov model , correctness , bayesian network , decoding methods , algorithm , binary number , graphical model , variable order bayesian network , probabilistic logic , markov chain , markov model , algebraic number , forward algorithm , set (abstract data type) , theoretical computer science , bayesian probability , artificial intelligence , variable order markov model , bayesian inference , machine learning , mathematics , mathematical analysis , arithmetic , programming language

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