Sentence examples for boost the prediction from inspiring English sources

Second, a cascaded prediction strategy is designed to utilize the predicted spectral features as auxiliary input to boost the prediction accuracy of the excitation features.

We extract the feature of patches in (G_{y_{l}}^{j}) with the feature extraction operator F in order to boost the prediction accuracy.

The results indicate that the new generated Hybrid approach can be generalized to boost the prediction capability of ANNs in complicated time series data.

Via the multiple latent graphs constructed, the supervised knowledge can be propagated from labeled to unlabeled nodes effectively to boost the prediction performance.

Some methods, such as SubcellPredict and HensBC, combine multiple classifying algorithms in order to boost the prediction performance (Bulashevska and Eils, 2006; Niu et al., 2008).

Since protein functions are inter-correlated and most functional labels often have a relatively small number of member proteins, these algorithms ignore the interrelationship among labels, which can often be used to boost the prediction accuracy [ 3, 19].

The heterogeneous information significantly boosted the prediction accuracy for some kinase families.

However, in our task if dopamine had in fact boosted the prediction error magnitude in a way that impacted learning, we would have expected to see this in improved behaviour in the performance phase.

As a result, the use of clinical cut-offs in assigning ODD and CD diagnoses in studies may have boosted the prediction of CD from previous levels of ODD when subclinical levels of CD have not been considered, whereas the appearance of more 'severe' manifestations of CD may have overshadowed the stability of ODD.

When translated into the absolute numbers, it means that in some cases using PRANK can boost the overall prediction performance of a method by up to 20% (the Improvement column) with respect to the absolute achievable maximum.

In order to boost the overall prediction accuracy, a consensus is built using brainstorming technology that combines multi-objective instances of machine learning algorithm.