Sentence examples for optimization of the prediction from inspiring English sources

A new criterion has been presented for the optimization of the prediction filters in this context.

To the best of our knowledge, most existing studies have mainly focused on the optimization of the prediction stage.

Before concluding the article, let us now study the complexity of the proposed sparsity criteria for the optimization of the prediction filters.

A joint optimization method can therefore be proposed which iteratively optimizes the prediction filters p j ( H H ), p j ( H L ), and p j ( L H ). While the optimization of the prediction filters p j ( H L ) and p j ( L H ) is simple, the optimization of the prediction filter p j ( H H ) is less obvious.

In this work we discuss the benefits of using computational intelligence methods, like Support Vector Machines (SVM) for the optimization of the prediction of compounds solubility.

Through the optimization of the prediction parameters, we have also depicted the structural characteristics of the SMB gene clusters.

Biorelevant dissolution is an indispensable tool utilized during formulation development and optimization for the prediction of in vivo bioavailability of pharmaceutical agents.

More specifically, it will be shown that the optimization of the diagonal prediction filter depends on the optimization of the other prediction filters and vice-versa.

The fourth method modifies the optimization stage of the prediction filters by using the ℓ1-norm instead of the ℓ2-norm.

In line with the idea that attention can be understood as the optimization of the precision of prediction errors, Feldman & Friston (2010) employed computational modeling to simulate electrophysiological and psychophysical findings from the Posner spatial cueing task (Posner, 1980).

The key questions to address include the level of improvement from model optimization in the prediction uncertainties of PSR residence times at extinction and ignition and the rate coefficients of reactions that must be improved in order to reduce the prediction uncertainties.