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Many SDES models have been developed, for instance, stochastic automata, queuing models, and stochastic Petri nets.
We discuss these conditions, suggesting a method to connect Boolean models, mean-field models, and stochastic chemical models.
Those models include adaptive SAR model [38], Total Variation (TV) [76], Markov Random Fields (MRF) [77]-based models and Stochastic Mixing Models (SMM) [78].
Several mathematical methods such as ordinary differential equations (ODE -based mODE -basedstochastic models hand been developed for understochastiche dynamodelsf gene regulation.
Mathematical formalism combines methodological innovations of mechanistic carcinogenesis models and stochastic process models widely used in studying biodemography of aging and longevity.
Speech-input translation can be properly approached as a pattern recognition problem by means of statistical alignment models and stochastic finite-state transducers.
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In addition, comparison is made using two different modelings, random variable modeling and stochastic field modeling for the stochastic ground media.
The modeling method can be further divided into determinable modeling and stochastic modeling and is used to nicely reflect internal changes of geological body.
Two CSI error models, deterministically bounded error model and stochastic error model, were considered.
Two CSI error models, deterministically bounded error model and stochastic error model, are considered.
The same data has been considered to develop the traditional statistical model such as regression model and stochastic models.
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