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Lecture note Formal methods in software engineering - Lecture 4 (cont)
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A hidden Markov model (HMM) is a statistical model in which the system be- ing modeled is assumed to be a Markov process with unknown parameters. The challenge is to determine the hidden parameters from the observable parameters. Typically, the parameters of the model are given and the challenge is to find the most likely sequence of hidden states that could have generated a given sequence of observed states. |