Sentence examples for model is naturally from inspiring English sources

(iv) The beam model is naturally expressed as an explicit system of six first order ODEs.

The classification model is naturally deemed as an oblique tree as it discovers partitions via oblique hyperplane in the input space.

While the best model is naturally Poisson, this is true moreso because the distribution only requires estimating one parameter.

This model is naturally obtained as the continuum limit of (32) for a network arranged along a line with communication delays (tau x,y)) set by the speed of an action potential v that mediates the long range interaction over a distance between points in the tissue at x and y.

"Here's an example of how images are sometimes retouched, but we think our model is naturally gorgeous".

While it may be true that this particular model is naturally tall and slim, the advertising industry is still largely promoting images of bodies that are unattainable for the majority of the population, or encouraging a "thigh gap" to unwitting teens.

This model enables one to parameterize the stiffness matrix of the finite element (FE) model of the system, such that, in an updating process, properties such as symmetry and sparsity of the original FE model are naturally preserved.

Since the high and low activity states in the neural field model are naturally distinguished by determining whether u is above or below the firing threshold, we shall take the constant on the right hand side of (4) to be h (though other choices are also possible).

The nucleotide equilibrium parameters of the HYK model are naturally suited to incorporate the nucleotide bias found in the different sequence models (e.g. donor, codon, etc).

The fit of JNK was also acceptable, although the high measured concentrations at time t = 0 constituted a problem, as the model was naturally unable to reproduce them due to the delaying effect of the signaling cascade.

Authors evaluating the performance of their own model are naturally likely to err on being overly optimistic in interpreting results or selective reporting (possibly selectively choosing to publish external validation from datasets with good performance and omitting any poorly performing data).