Sentence examples for likelihood identification from inspiring English sources

The proposed adaptive wave filter borrows from maximum likelihood identification techniques.

The combination with a maximum likelihood identification approach yields a solver that is extremely robust to errors in the data, such as noise and leakage and hence results in accurate models.

While we found that higher posterior probabilities were often underestimated using this approach, maximum-likelihood identification still consistently outperformed selection of the genetically closest host (Table S2).

This paper evaluates several stormwater monitoring programs to identify ways of increasing the likelihood of identification of high-risk dischargers and increasing data reliability for assisting in the development of total maximum daily loads.

On the assumption that the main noise sources in flutter tests are related to turbulence and that non-linearities may exist in the aeroelastic system, it is shown that the maximum likelihood parametric identification method is more capable than non-parametric methods of identifying experimentally mentally a flexural-torsional flutter of a wing model excited by three different forcing functions.

500 significant genes improving the likelihood of identification of relevant biological functions.

Other geopolitical factors might increase the likelihood of identification and reporting of such endemic disease (civil war, humanitarian emergencies, the presence of NGOs).

Inclusion of R-NSCP6 in our experimental design could trim off the molecules not bona fide unique to R-NSCP1 and therefore increased the likelihood for identification of molecular regulators of R-NSCP1 functions.

Third, the higher proportion of patients with available laboratory measures in the consensus criteria only and both definition groups may itself have increased the likelihood of identification by consensus criteria because, in the absence of available data, these measures were assumed to be within normal limits.

Second, we compare the likelihood-based identification approaches with standard methods, notably linear regression (referred to as Rg) and the commonly-used multiple imputation (MI) method (Rubin, 1976 19966).

Thus, priority 1 proteins had the highest likelihood of correct identification and priority 4 proteins the lowest likelihood of correct identification.