Sentence examples for models that select from inspiring English sources
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.
These are models that select for regions where a single type of process statistically dominates, relative to the other potential processing types.
One of the limitations of random draw models that select by species, such as that just described, is that they draw a predetermined number of species from the regional pool, and therefore make no predictions about species richness.
To explore more precisely the role of PKD2 in thymocyte development we backcrossed PKD2-null mice [ 6] to mice expressing defined α/β TCRs: the OTI and P14 transgenic TCR models that select for class I-restricted CD8 T-cells and the OTII TCR transgenic TCR model which selects class II-restricted CD4 T-cells.
After that, we applied a stepwise forward selection to determine the reduced model that selected variables based on the log-likelihood ratio test at a p-value < 0.1, and excluded variables at p-values >0.2.
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.
A backward stepwise model that selected for main effects in the final model was used.
We present a model that selects a set of SCs that must be built, in order to lower development and adaptation costs.
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.
