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A model predictive control relevant data prefilter, namely the multistep ahead prediction filter for optimal predictions over every step within a finite horizon, is presented.
Additional investigations were carried out in triplicate to confirm the optimal predictions of the model.
The global strategy combining separate particle methods for the concentration and its gradient gives optimal predictions of reactivity.
The combined pedigree-genomic relationship matrix provides a natural way to weight both components for optimal predictions.
Altogether, as Neher and colleagues show, current predictions reach about halfway between random picks and optimal predictions.
In organisms with a low impact of alternative splicing as C. elegans, it provides optimal predictions resulting in one of the most accurate gene finding programs.
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We then used the optimal prediction parameters determined earlier to predict the masked data.
In the coding process, the optimal prediction modes and the CU splitting depth are decided by an RD optimization process, and all the decision process is time consuming.
It provides an optimal prediction locally inside the training set.
where denotes optimal prediction coefficients, and denotes an optimal pitch lag.
Note that we are not trying to propose a particular "optimal" prediction model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com