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An L1-penalty term is commonly used in continuous model selection to identify a small set of informative features.
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The existence of curve veering in continuous models is illustrated by presenting the exact solution of an elementary eigenvalue problem.
Spatial structures of calcium dynamics can be studied in continuous models; see, e.g., [29] for a study in the context of CICR.
In this study, the advantages of artificial neural networks and neuro-fuzzy system in continuous modeling of the daily and hourly behaviour of runoff were examined.
In continuous models FPs having a combination of TEA and crystal structure information scored the best (Q2 = 0.6683), but overall scores were not high enough to benefit from a continuous model.
In discrete models, difference equations reflect the change over the whole time step, whereas in continuous models, differential equations are developed to explore the changes in one variable with a decreasingly small change in another variable [1].
It is important to note that logical models are not generated by simple discrete approximation of the real-valued data used in continuous models.
This approach of noisy gene regulation can be efficiently simulated in continuous modeling approaches by using chemical master equations (CMEs) and Gillespie's algorithm (Gillespie, 1976, 1977; Gonze and Goldbeter, 2006; Rao et al., 2002; Schultz et al., 2007).
During post-exercise rest, an elevated BC level was associated with −0.1 mm ST-segment depression (p = 0.02 for 12-hr mean BC; p = 0.001 for 5-hr BC) in continuous models.
However, despite all these influences of the parameters, we observed much smaller ratios ρ in the continuous model than in the Boolean model.
The binding of single Ca2+ ions could not be modeled literally in the continuous model, because single Ca2+ ions do not exist in the model.
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