Short Note on Two Output - dependent Hidden
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چکیده
5 The purpose of this note is to study the assumption of “mutual information inde6 pendence”, which is used by Zhou (2005) for deriving an output-dependent hidden 7 Markov model, the so-called discriminative HMM (D-HMM), in the context of deter8 mining a stochastic optimal sequence of hidden states. The assumption is extended 9 to derive its generative counterpart, the G-HMM. In addition, state-dependent rep10 resentations for two output-dependent HMMs, namely HMMSDO (Li, 2005) and 11 D-HMM, are presented. 12
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Short note on two output-dependent hidden Markov models
5 The purpose of this note is to study the assumption of “mutual information inde6 pendence”, which is used by Zhou (2005) for deriving an output-dependent hidden 7 Markov model, the so-called discriminative HMM (D-HMM), in the context of deter8 mining a stochastic optimal sequence of hidden states. The assumption is extended 9 to derive its generative counterpart, the G-HMM. In addition, state...
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تاریخ انتشار 2007