Hidden Markov Model | Frederic P. Miller (u. a.) | Taschenbuch | Englisch
37,95 €
An HMM can be considered as the simplest dynamic Bayesian network. In a hidden Markov model, the state is not directly visible, but output dependent on the state is visible. Each state has a probability distribution over the possible output tokens.
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