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Several factors can contribute to the improved prediction performance of our approach in predicting RD values from sequences alone.
Incorporation of the AEDI in the ANN model improved prediction performance of the location and scale parameters by 7% and 21%, respectively.
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The results also showed that the VQ technique can decrease the training time and improve prediction performance of the SVR model.
Since analysis of microarray data sets is a high dimensional problem, our results demonstrate that multi-task learning techniques can be employed to improve prediction performance of tumor classification by using redundant genes.
This study also verified the importance of GlobalSoilMap products and a priori pedological information that improved prediction performance and quality of the new FAO soil map of Denmark.
Our model achieved a significantly improved prediction performance in identification of short prokaryotic genes.
The methodology is independent of the model class, applicable to all black box models, and improves prediction performance for a variety of data in several industrial application areas.
More recently, various groups have shown improved prediction performance with the use of the support vector machines (SVM) algorithm.
There has been little work on combining PPI datasets with the goal of improving prediction performance for multiple organisms.
Bagging is a popular method to estimate models with improved prediction performance by reducing the variance of a single weak prediction model by aggregating the predictions of several weak models that were fitted on bootstrap samples.
The model shows improved prediction performance, further demonstrates the role of methylation as a significant contributor to stage-dependent expression alterations, and identifies key TFs as potential drivers of cancer progression.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com