Sentence examples for boost prediction accuracy from inspiring English sources

(ii) Boost prediction accuracy via applying various regression algorithms.

Nevertheless, we think that affects combined with other features extracted from tweets, location-specific feature selection (e.g., our findings from cross-correlation analysis), as well as deep neural network models for sequence prediction can boost prediction accuracy, and even forecast ILI dynamics several weeks in advance.

Therefore, describing genetic background using markers can potentially boost prediction accuracy above and beyond what can be achieved using family history.

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.

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].

This fact shows that MNet based on Y ˜ can more accurately predict the labels with few member proteins than MNet based on Y, and explicitly considering the unbalanced problem in data integration based protein function prediction can boost the prediction accuracy.

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

This has resulted in a boost in contact prediction accuracy, thanks to which it is now possible to reliably predict protein structures using only sequence information if enough homologous sequences are available (Hopf et al., 2012; Marks et al., 2011; Nugent and Jones, 2012).

Xia et al., [ 27] introduced both a SVM model and an ensemble classifier based on protrusion index and solvent accessibility to boost hot spots prediction accuracy.

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