Sentence examples for model parameters represented from inspiring English sources

In sum, each leaf of the soft decision tree carries a set of model parameters represented by μ l that contributes to express the output probability distribution b(o|g,c).

The large number of unknown model parameters represented a significant challenge in terms of data-fitting, particularly as the free-running and entrained clock have qualitatively different dynamics (while quasi-sinusoidal oscillations are observed in DD, frq and wc-1 mRNA exhibit slow-fast dynamics closer to that of a relaxation oscillator in LD due to acute light responses in these genes).

The model parameters represent reasonable values for physical systems and are listed with their values in Table 3.

In this work, model parameters represent the average values for a general patient and are extracted from the literature or estimated from available data.

Model parameters represent the maximum fraction of viscous fingering and the growth factors of different regions, and they are used to modify flow functions.

We also note that the calphad model parameters representing alloy energetics vary significantly from one assessment to another in these systems.

However, the HMM approach requires significant training to perform well [19] and, like all model-based methods, its performance depends on how well the chosen model parameters represent the human action.

Because this simulation explores only the characteristics of S reflections under various conditions, the model parameters represent a simplified two-layered submarine structure including the sediment and crust but do not correspond to a realistic structure.

It is noted that the CALPHAD model parameters representing alloy energetics vary significantly from one assessment to another in these systems, demonstrating the clear need for additional enthalpic data for all competing phases to derive unique thermodynamic model parameters.

A three degree-of-freedom model with vertical, fore-and-aft and rotational (i.e. pitch) degrees of freedom has been developed with twelve model parameters (representing inertia, stiffness, damping, and geometry) optimised to the measured vertical apparent mass and the measured fore-and-aft cross-axis apparent mass of the body.

Section 3 introduces the regression model and prior distribution used to infer the model parameters representing gene gene influences.