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- W2062804535 abstract "The generalized Viterbi algorithm, a direct extension of the Viterbi algorithm for hidden Markov models (HMMs), has been used to find the most likely state sequence for hierarchical HMMs. However, the generalized Viterbi algorithm finds the most likely whole level state sequence rather than the most likely upper level state sequence. In this paper, we propose a marginalized Viterbi algorithm, which finds the most likely upper level state sequence by marginalizing lower level state sequences. We show experimentally that the marginalized Viterbi algorithm is more accurate than the generalized Viterbi algorithm in terms of upper level state sequence estimation." @default.
- W2062804535 created "2016-06-24" @default.
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- W2062804535 date "2013-12-01" @default.
- W2062804535 modified "2023-10-06" @default.
- W2062804535 title "Marginalized Viterbi algorithm for hierarchical hidden Markov models" @default.
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- W2062804535 doi "https://doi.org/10.1016/j.patcog.2013.06.001" @default.
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