# S.E. Levinson

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- Kurt Squire, S.E. Levinson
- 2005 IEEE Workshop on Machine Learning for Signal…
- 2005

The term hidden semi-Markov model (HSMM) refers to a large class of stochastic models developed to address some of the shortcomings of hidden Markov models (HMMs). As with HMMs, the underlying sequence of states of a process is modelled as a discrete Markov chain. Unlike HMMs, each state in an HSMM can emit a variable length sequence of observations, with… (More)

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