Sentence examples for candidates sequentially from inspiring English sources

For starters, the candidates are not going to be on stage together; Mr. Stephanopoulos will be questioning the candidates sequentially, which significantly reduces the chances for interesting exchanges.

This phenomenon is due to the resampling step as it examines the candidates sequentially for resampling.

Idaho is also the rare Republican state where second-choice preferences matter since candidates are sequentially eliminated from the ballot if they do not have enough votes, something which could harm Mr. Paul since his support tends to be all-or-nothing.

As already mentioned, existing filters produce candidate genes sequentially one by one, and then this sequential order of genes is used to look at their classification performance.

Such filters produce candidate genes sequentially one by one, which then extends also to the evaluation process.

She spins enchantingly surreal stories about the overrated artist, the Nobel laureate, the foreign correspondent and the bogus consul ("When asked why he had impersonated a member of the Belgian diplomatic corps he had replied: Well, someone had to") on the short list of candidates whom Ludo sequentially discovers.

Study candidates were recruited sequentially in the waiting rooms of their pulmonologist, cardiologist, or surgeon in the Nij Smellinghe hospital.

At the beginning of a time slot, P t starts to observe the SU candidate relay nodes sequentially according to the observation sequence.

In contrast, iRDA is a filter that produces candidate genes by sequentially aggregating parsimonious gene sets.

Despite these limitations, in the majority of retrospective cases presented here (including AHI1), UGET analysis rank ordered candidate genes such that sequentially sequencing the most highly correlated genes would identify the known disease gene more far efficiently than sequencing all genes within the candidate interval.

Starting from the original model, e.g., derived from the literature, the proposed algorithm can sequentially evaluate candidate models, which are generated by partially changing the current best model, to find the model that can best predict the data.