Sentence examples for more precisely prediction from inspiring English sources

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The statistical error analysis revealed that the proposed generalized SVR model had more precisely prediction than ANN with an average absolute relative error (AARE) of 2.17%, 1.32% and 9.64% for gas holdup, downcomer liquid velocity and volumetric gas-liquid mass transfer coefficient values, respectively.

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More precisely, the prediction filters are optimized by minimizing the ℓ2-norm of the detail coefficients whereas the update filter is optimized by minimizing the reconstruction error.

More precisely, a prediction rule is considered interesting (or surprising) to the extent that it represents knowledge that not only was previously unknown by the user but also contradicts his original believes.

More precisely, the prediction was considered a true positive (TP) if its position occurred at most 40 bases upstream of the 5' end of a documented site (shown in Figure S1).

More precisely, the predictions provided by these criteria, for each constitutive model studied, are compared with the experimental trends observed in metallic materials for such loading conditions.

Jerry Coyne, in his recent Why Evolution is True [ 114], similarly sees Darwin endorsing the Tree as an explanation, or more precisely as a prediction of his theory.

Based on our in-depth analysis from the data that have since become available, we set out to more precisely quantify this prediction.

Such thresholds allow the models to more precisely generate binary predictions based on a calculated probability of activity, i.e. activity if Pa ≥ threshold.

Due to our experimental manipulation of target presentation, our TMS results provide first causal evidence for apparent motion-induced V5 activity being necessary for a specific prediction effect, more precisely the interference with a prediction-related motion-unmasking effect (see below).

More precisely, we design the prediction operators by minimizing the variance of the detail coefficients.

When T is in the range of (0.5, 1.0], the combination condition is more critical. It makes hard to combine sub-clusters, which makes the prediction more precisely. Thus PC is significantly increased, so are the MPC and MKC.

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