Sentence examples for best weighted from inspiring English sources

The regression uses data from recent N.F.L. seasons to tell us how each facet of team performance is best weighted to predict which team will win a game.

For the nine traits currently measured under the BVA/KC scheme this would involve: 1) being clear on the extent to which traits are definitive of disease and which are biomarkers or secondary consequences, 2) analysing the genetic contribution to prediction of disease, and 3) deriving how the traits may be best weighted to provide the most accurate predictions.

ΔR D corresponds to the data rate reduction with the best weighted rate sum (from DSM design (7) with weight w).

On the other hand, the authors in [17] proposed a selection scheme based on the selection of the relay with the best weighted SNR aimed at improving the fair behavior of ORS (measured by the percentage of power consumption).

Ahn, Lee, Park and Yoo proved that the best constrained degree reduction of a polynomial f in L2-norm equals the best weighted Euclidean approximation of the Bernstein Bézier coefficients of f in a paper, published in the journal, Computer Aided Geometric Design 21 (20042004) 181 191.

If (1le ple infty ), (nge 0), and (fin L^p alpha,beta )), then we define the degree of best weighted approximation of (f) by polynomials of degree at most (n) by begin{aligned} E_{n,p} alpha,beta ;f mathop limits ^{mathrm{def}}min _{Pin Pi _n}Vert f-PVert _{alpha,beta ;p}.

The education secretary has made what choice there is in education a complex Chinese puzzle of eight best: double weighted EBacc subjects with different codes that creates perverse incentives – all without seeking primary legislation, all without creating a new education bill scrutinised by parliament.

In addition, as Salmon has pointed out, the framework can be naturally understood as illuminating how scientists' conflicting values bear on rational theory evaluation, and thus where the phenomenon of "value incommensurability" fits into scientific inquiry i.e., in the prior probabilities of researchers even if it does not straightforwardly explain how those values might best be weighted.

The 'optimize' function finds the best-weighted average of the precision and recall (f-score) based on the number of filtered consistent and inconsistent variants, providing the user a good initial setting for further investigation and adjustment.

Overall inferences should then reflect an average of the inferences of the best models, perhaps weighted by some metric of closeness to the optimum.

The best performing method, weighted majority vote, improved things only very slightly (by <1 1.5 pp) for BioGRID, on different levels of the MIPS hierarchy, with more improvement at the lower levels of the hierarchy.