Exact(1)
Finally, the flow reactor data were used to demonstrate how model uncertainty minimization can improve model predictions.
Similar(59)
Minimization methods can improve balance but increase the possibility of selection bias.
Incidentally, it was proved that the iterative reweighted ℓ1 minimization can indeed improve both the recoverable sparsity thresholds and the recovery accuracy upon the regular ℓ1 minimization [13 15].
Since the weighted ℓ2,1 minimization further consolidates the sparsity-encouraging nature of regular ℓ2,1 minimization, the SW ℓ2,1-SVD can improve the recovery accuracy.
However, according to the original idea of compressive sensing, ℓ p -norm minimization with p < 1 can improve the recovery performance for signals that are less sparse[24, 28, 29].
It has been shown that alternative formulations, such as the minimization of metabolic adjustment [ 36], regulatory on-off minimization [ 37, 38], and optimal resource allocation objective [ 39, 40] can improve the predictive capability of the metabolic model under certain conditions.
In addition, we can improve the efficiency of this reweighted l 1 minimization algorithm combining with the 'kicking' technology.
Greater attention to these three factors can improve the overall quality, use, and impact of risk-minimization programs.
— can improve confidence.
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