Sentence examples for average squared differences from inspiring English sources

The RMSE is the square root of the average squared differences between the observed score and the predicted score, which gives us an approximation of the average deviation around each of the predicted means for each model.

MSE is the average squared differences between outputs and targets, where lower values are apparently better.

With variogram analysis experimental semi-variances are calculated in terms of half of the average squared differences of all pairs of measurement values within each distance interval.

We calculated D, the average squared differences in expression between species divided by the average squared differences in expression within species for each data set and cell type.

They also agree with studies that reported that increases in the length of the repetitive component of the sequence, measured in base pairs [ 84, 98- 100] or number of repeats [ 91, 92], led to higher rates of mutation [ 84, 99, 100], polymorphism [ 92, 98], and average squared differences in the number of repeats between orthologous loci [ 91].

Second, the estimates are regularized, i.e. shrunk towards a common value that minimizes the average squared difference between the initial estimates and the shrinkage estimates.

Diversity for NEX and ENDEX genes in the respective tissues was calculated as the average squared difference in expression between the two biological replicates.

The effect MSE is then defined as the average squared difference between parameters in target and estimate, normalized by the variance of the target; i.e., Effect   MSE = T p × Var.

Using egg production records from White Leghorn crosses, Amuzu-Aweh et al. [ 1] showed that heterosis can be predicted using the genome-wide average squared difference in allele frequency (SDAF) between the two parental lines, with an accuracy of ~0.5.

In total, twelve of the 51 haplotypes are shared between North Africans and Iberians, but Iberians show a lower diversity (average squared difference [ASD] = 2.85) than North Africans (ASD = 9.13).

We calculate the appearance score as the average squared difference between normalized cell images (between 0 and 1) and minimize this score by rotating the images relative to each other.