Sentence examples for ordering of candidates from inspiring English sources

We took the ICCs as a G-coefficient for relative decisions as we included only those terms that affect the rank ordering of candidates.

"The system as amended would unduly favour the ordering of candidates suggested by parties, rather than enabling voters an accessible and straightforward means of themselves selecting the order of preference for party candidates," Williams says in his submission.

"Disturbingly, it would do this in a way that would create the impression that this bill is designed to harm the electoral chances of minor parties while retaining the capacity of major parties to manipulate the preferences of voters through the ordering of candidates," he says.

We propose to use a "Signature-based" ordering of candidate actions as follows.

Addressing several challenges for session reconstruction in RIAs including the identification of candidate user-browser interactions, efficient ordering of candidate actions, distributed reconstruction, detection of complex user-input interactions and actions that do not generate any HTTP traffic.

However, IAMB uses a dynamic heuristic function to determine the ordering of candidate variables, as opposed to the static determination of GS.

Today was the legal deadline for county organizations to indicate their preferences for the order of candidates on the primary ballots in each of the state's 21 counties.

GIMME builds upon the results of the GM algorithm (see Section 2.3.4): GM computes an ordered list of candidate edges (or "candidate list" for short) for every edge of the source route (or "source edge" for short), and returns an associative array relating every source edge to a corresponding candidate list.

Using the estimated values of p X0 j |·), ∀ j ∈ {1, 2,... M}, we create an ordered list of candidate PDR genes.

Using the estimated values of p (X0 j |·), ∀ j ∈ {1, 2,... M}, we can create an ordered list of candidate PDR genes.

By running multiple iterations of the algorithm on subsampled datasets, we can produce ordered lists of candidate interactions with strong predicting power.