Sentence examples for placement probabilities from inspiring English sources

In [11], the authors address the content placement problem in cache-enabled multi-tier HetNet and the optimal tier-level placement policies are yielded which achieve the maximal hit probability over content placement probabilities.

However, even if there may be issues with transposability, this was addressed in the sensitivity analyses, which demonstrated that the findings were robust and were not altered when utility values and nursing home placement probabilities were modified.

Empirical studies with comparison groups using Propensity Score Matching to solve the fundamental evaluation problem showed that a relationship of 1 60 allows job placement officers to do a better job: It turned out that the job placement probability of the treated was 15.31 percentage points higher (see Jerger et al. 2001).

As in Bhatt et al. (2013) points were randomly located in regions above an evidence consensus threshold of −25, with regional placement probability weighted by evidence consensus scores, so that regions with higher evidence consensus contained more pseudo-presences than lower scoring areas.

For any given individual positive instance, such placement has probability 1 − j N n + 1.

STAC then proposes two statistics (footprint and frequency) to define regions of SCAs while adjusting for multiple comparisons, where the null hypothesis is that the detected CNAs from single-sample analysis are the realizations of random CNA placements whose probability distribution is generated by permutations on CNA segments [ 13].

Likelihood ratios is the ratio of the probability of finding people who will need nursing home placement to the probability of predicting those patients who will not be at risk of nursing home placement using a defined cut-off score.

Mr. Varian worked to develop a different model for ad placement, calculating the probability that a user will click on an ad and find the ad relevant.

This was reported to be a favorable area for mini-implant placement, considering the lower probability of inflammation.

In a similar fashion, Mattoo et al. (2008) used the probability of placement of highly educated immigrants in skilled jobs in the U.S. labor market as a measure of the "average quality" of human capital of the source country.

Four-objective optimization model based on NSGA-II algorithm is developed to minimize losses of contamination injection (through CVaR of affected population and detection time) and also minimize the two other main criteria of optimal placement of sensors including probability of undetected events and cost.