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