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We found that the mean of residuals between the data and the model predictions increased with the width of the time window.

As a general trend, accuracy of genomic predictions increased with increasing h and increasing sizes of training sets.

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The accuracy of prediction increased with an increasing number of SNP in the model and the predicted accuracies were similar to those obtained by cross-validation.

Accuracies of genomic prediction increased with BayesC when the number of flanking SNPs was equal to ±10 or more as π increased for both 50 and 770 K SNP panels.

Experimental resistivity of composites followed the trend of theoretical prediction, increasing with increasing volume fraction and decreasing size of reinforcement.

Furthermore, we observe that the quality of this prediction increases with the tendency of Twitter users to share their mobile phone contacts and is more accurate for individuals with more contacts inside Twitter.

For (text{OAS}) where an estimate of (V') is found with modified greedy seeding, we observe that in planning full cascades, the stability of (near-) optimized seeding strategies (against noise in link prediction) increases with node thresholds.

As a result, their prediction error increased with increased production when their semi-analytical results were compared against results from a commercial simulator.

It can be seen in Fig. 5 that the yields of propylene from both model predictions increase with the increase in conversion of heavy oil.

The authors use a hierarchical GOP pattern and propose not to carry out the DE in one or more of the highest temporal layers of the hierarchical GOP pattern, since they observed that the percentage of temporal predictions increases with the increment in the temporal layer index.

The level of confidence for functional predictions increases with increasing read-length.

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