Sentence examples similar to expense prediction from inspiring English sources

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Last, concerning (c), one of the abiding limitations of cognitive theories is that they emphasize explanation at the expense of prediction.

In reciprocal mode, it is biased to minimize misannotations by maximizing PPV (92%) at the expense of prediction coverage (43%).

Relative to trait-targeted training population, the use of a large diverse training population could reduce inbreeding, probably at the expense of prediction accuracy.

However, the specificity of SLiMChance is achieved at the expense of prediction sensitivity because the number of patterns being assessed the motif space is typically very large.

Despite years of health-policy debates lamenting the expense, and predictions that the rise of managed care would thin the crowds, the nation's emergency rooms are busier than ever.

We demonstrate dramatic improvements in accuracy via cautious classification, in which test accuracy is improved at the expense of making predictions for only a subset of possible links or nonlinks.

The problem is illustrated by the performance of the ab initio versions of ExAlt, which correctly predicted overlapping exons, but at the expense of increased over prediction of splice sites.

Therefore, these approaches use not only the information about the small molecule but also the structure of the target to estimate the activity; however, this additional information comes at the expense of an increased prediction time and the need for a 3D structure of the protein.

In the case of growth-promoting genes, if the gain by one offspring comes at the expense of siblings, the prediction is for the allele with lower relatedness, which is typically the patrigenic allele, to be expressed.

Note that if the model is trained with uniform weights, our features can achieve a higher (R^{2}=0.47) and mean absolute error of 9.3 years, but at the expense of imbalance in predictions with higher error for less frequent ages.

The results for the deterministic EM algorithm, particularly at high levels of motif conservation, are skewed towards increasing sSn; that is, fewer false-negative predictions were made at the expense of having more false-positive predictions.

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