Traditional immunization and display antibody discovery methods rely on competitive selection amongst a pool of antibodies to identify a lead.
Countries were selected in a competitive selection process by an independent scientific committee.
Three variable selection methods including interval partial least-squares (iPLS), competitive adaptive reweighted Sampling (CARS), and the combination of the two methods (iPLS-CARS) were performed for optimizing the model.
Competitive adaptive reweighted sampling (CoAdReS) and ant colony optimization (ACO) variable selection methods were used to enhance the predictive ability of the chemometric models by removing unnecessary spectral information.
They were individually selected through newspaper advertisements and a competitive selection process.
In order to demonstrate this particular point, we conduct experiments with a symmetry-based object detection method and show that it can be successfully controlled by attentional modulation using a common competitive selection mechanism.
Many other selection methods are superior.
Without a competitive selection process, the best leadership ideas cannot emerge.
As a result, it can maintain a highly competitive selection process.
Academies have been accused of using selection methods to attract the children likeliest to succeed.
