Sentence examples for build selected from inspiring English sources

Emberton only has four lessons he's taken from The Sims, but they're still useful: "good decisions require little thought" (basically: just do something), "nurture your state" (eat when hungry, sleep when tired, pee when necessary), and "build selected skills" (focus on a few skills and don't try to be good at everything).

However, solving real-world problems requires to build, select, and assess models for real data which is often far more challenging than analyzing well-behaving simulated data.

As this set of EFMs included EFMs involving both glucose and amino acids, two subsets of EFMs were built, selected from only glucose (ammonium and nitrate as nitrogen source) and from both glucose plus amino acids (glutamine and alanine) as a carbon substrate.

We finalised the competition schedule, with 650 sporting sessions over 18 days, built and selected over 100 competition and non-competition venues, and designed the transport and accommodation plans," said a spokeswoman.

The training set is further used in N-fold cross validation process for internal model evaluation and selection while the IVS data is used to perform an unbiased model validation after the best model is built and selected.

In continue the result of applying the proposed method is presented and it is compared by some other conventional methods based on accuracy, sensitivity and specificity of the classifier which is built on selected genes.

Finally, as controls, two sets of 600 SNPs were built by selecting SNPs randomly or by selecting those with the highest observed minor allele frequencies.

The Immune Response Annotation Group (IRAG) members used Otterlace [ 45, 46] to manually annotate over 1,400 loci in porcine build 9 selected based on their membership in immune response processes or Gene Ontology immune response annotation.

Early PC games were often built around selecting dialogue for your protagonist from a menu, or even asking you to type your own.

3D model of faults is built by selecting minimum curvature interpolation, which can reflect 3D spatial distribution characteristics and combination features of faults.

The dataset was built by selecting the geolocated tweets sent from the touristic places in the general streaming and requesting the time-lines of the users posting them.