Markov model

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Markov model

(probability, simulation)
A model or simulation based on Markov chains.
References in periodicals archive ?
Tools are required for making decision trees, Microsimulation models, Markov models, Des models (discrete or simulation model).
At this conversion rate, Markov models predicted gravel rooftops would be reduced by 54% by 2106 if gravel materials are not phased out by the roofing industry.
Lumping Matrix Diagram Representations of Markov Models. International Conference on Dependable Systems and Networks.
(2015) Adapting Hidden Markov Models for Online Learning.
On the other hand, despite the existence of research efforts on the behavior of PU, the temporal persistence model in [21] is not widely followed by other researchers, and the popular Markov models are mainly utilized to enhance system throughputs [22-23, 26], while their benefits to other performance metrics have not been fully investigated.
Two Lithuanian recognizers using the word based and phoneme-based hidden Markov models (HMM) were prepared for the implementation of the hybrid recognizer.
Rabiner, "Tutorial on hidden Markov models and selected applications in speech recognition," Proceedings of the IEEE, vol.
Experiments were carried out for the ergodic and left-right Hidden Markov Models. According to experiments ergodic HMMs with 2 states show best performance.
The current study explored to predict driver's eye-off road duration in different driving scenarios by building Hidden Markov Models (HMM) using driver's visual behavior.
2010: depmixS4: An R package for hidden Markov models. Journal of Statistical Software 36(7): 1-21.
In addition to three-state hidden Markov models we have three different states: Expansion, transition, contraction.