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Learning discrete Hidden Markov Models from state distribution vectors
Author(s) -
L.G. Moscovich
Publication year - 2004
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.31390/gradschool_dissertations.4068
Subject(s) - hidden markov model , oracle , correctness , computer science , viterbi algorithm , string (physics) , artificial intelligence , set (abstract data type) , polynomial , algorithm , markov model , state (computer science) , probability distribution , machine learning , pattern recognition (psychology) , theoretical computer science , markov chain , mathematics , mathematical analysis , statistics , software engineering , mathematical physics , programming language

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