Sentence examples for cvs selection from inspiring English sources

However, given a plethora of candidates, all with perfect CVs, selection committees continue to look for the "X" factor and find, strangely enough, that it resides in people who look remarkably like themselves.

The methodology called minimum square deviation (MSD) considers several points such as the optimal controlled variables (CVs) selection based on the sum of square deviation (SSD) and controller structure design supported by net load evaluation (NLE) analysis.

By including the CV selection criterion, 52 probesets, representing 50 cartilage-selective genes were identified and added to the complete tally (Table 1, right), including 6 genes also identified using the U133A and U133B arrays (IRAK2, NRP2, WTAP, PITPNC1, AKR1C2, and PTK2).

Numerical examples show that with these new approaches, the CV selection problem can be solved incredibly fast.

The subset selection problem, however, is combinatorial in nature, which makes the application of the globally optimal CV selection method to large-scale processes difficult.

Recently, Ye, Cao, Li, and Song (2012) have proposed a globally optimal method for selection of self-optimizing CVs by converting the CV selection problem into a regression problem.

Dr. Boris A. Altemeyer, chief scientific officer for Cognisess, believes that it's interesting that tech giant Amazon has admitted defeat in its AI CV selection tool.

Some of the firms studied had adopted "CV-blind" selection techniques to hide an applicant's educational background in an effort to increase social mobility.

CV-based selection resulted in a more conservative model with the four strongest covariates and a lower fit (R2 = 0.47).

Models derived from the literature that were applied a priori were only weak predictors of erosion rate, but AIC-CV model selection identified 3 strong statistical models.

It was chosen explicitly by the 10-fold cross-validation (CV) model selection procedure (Li and Sillanpää 2012).