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Mastering Probabilistic Graphical Models Using Python by Abinash Panda, Ankur Ankan

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The Hidden Markov model

In the previous section, we discussed DBNs. In this section, we will discuss one particular variant of it, called the Hidden Markov model (HMM). Although named the Hidden Markov model, it is not a Markov network. Its etymology comes from the fact that the HMM satisfies the Markov property.

A Markov property basically indicates the memory-less property of a stochastic process, and any stochastic process satisfying this property is called as a Markov process. Let The Hidden Markov model be a time-continuous process. Then, for every The Hidden Markov model, time points with ...

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