Sentence examples for model that selects from inspiring English sources

We designed a Support Vector Regression (SVR) model that selects correct binding site geometries in a large ensemble of multiple receptor conformations.

Because the model building process results in a model that selects ligand alignments based on mutual interaction, there is a direct correspondence between the physical process of protein/ligand binding and the act of prediction.

We present a model that selects a set of SCs that must be built, in order to lower development and adaptation costs.

In [12], Narayanam and Narahari developed an algorithm for the LT model that selects the nodes based on the Shapley Value.

A minimum guarantee clause can be modeled as a put option written on some underlying reference portfolio and we develop a discrete model that selects the reference portfolio to minimize the cost of a guarantee.

As sensitivity analysis, we also consider a model that selects trials depending on the p-value for treatment effect associated with the trial [ 5– 7].

Using models that select individuals rather than species allows us to compare those models in terms of their predictions for the local abundances of species in Eastern Wood, as well as the identities of those species.

These shortcomings are addressed by models that select a predetermined number of individuals, rather than species, and then determine how many species are present in the sample, together with the abundance of those species.

Our TASP is important as it distinguishes randomly selecting individuals to make a move from a null model that randomly selects two feeders to move between.

In contrast, a null model that randomly selects feeders with a fixed probability of leaving of 0.25 and arriving of 0.33 incorrectly models this relationship.

Interestingly, the single ANN model that was selected for prediction of ab6A activity only used these two descriptors.