A hidden Markov model or a dynamic belief network can be used for probabilistic reasoning about sequences,

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A hidden Markov model or a dynamic belief network can be used for probabilistic reasoning about sequences, such as changes over time or words in sentences, with applications such as robot localization and extracting information from language.

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