Sentence examples for modeling the underlying from inspiring English sources

Frameworks for modeling the underlying dynamics of species occurrence using a two-state, or multi-state, occupancy variable, were introduced in Chapters and.

Toward the objective to control not only the size of crystals but also their shape, it is necessary to observe its evolution process as a basis for understanding and modeling the underlying growth kinetics.

Finally, another natural evolution of this type of models could arrive by substituting the useful, but limited concept of linear dimensionality reduction by a much more powerful (and also more difficult to deal with) nonlinear dimensionality reduction concept (see, e.g.,[23]) which aims at modeling the underlying manifold associated to a varying pattern, low dimensional only in a local sense.

Referring to Table 1, the model described next is strictly mathematical and decision theoretic incorporating important aspects of belief in the trust calculation, thus avoiding the unnecessary burden (not required in current scenario) of understanding and modeling the underlying cognitive attributes.

By directly modeling the underlying processes, a biophysics-based approach can overcome many limitations of the statistical methods mentioned above.

For this reason, it is practical to define a "fine grid" array for the purpose of modeling the underlying fluorescent protein spatial distribution.

There are several broad classes of regulatory network inference methods that aim to reconstruct and model the underlying regulatory networks at varying degrees of detail.

In our GP models, we use the squared exponential covariance matrix to model the underlying smooth function.

By modelling the underlying rate parametrically, it is possible to estimate fitted curves from the model, such as the cumulative survival function.

Flexible parametric survival models use splines to model the underlying hazard function, and therefore no parametric distribution has to be specified.

Comparison of the distributions inferred from these studies is not always straightforward, as different methods can assume quite different parametric distributions to model the underlying DFE.