Dynamic Bayesian network

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A dynamic Bayesian network is a Bayesian network that represents sequences of variables. These sequences are often time-series (for example in speech recognition) or sequences of symbols (for example protein sequences). The hidden Markov model can be considered as the most simple dynamic Bayesian network.

References

Learning Dynamic Bayesian Networks (1997), Zoubin Ghahramani, Lecture Notes In Computer Science, Vol. 1387, 168-197


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