Sentence examples for overestimation problems from inspiring English sources
However, an increase in the number of neurons and layers may generate over fitting and overestimation problems and increase the training time required [10].
Some residues in epitope are incorrectly annotated as non-epitopes led to overestimation problem that is overestimating of false positive rate.
The proposed indirect-bounding method addresses the overestimation problem by using the isomorphic transformation, developed in Tulsyan and Barton, 2016a (Tulsyan and Barton, 2017), to map the system into a transformed state space, where comparison-based methods yield tight bounds.
Results indicate that integrating Mahalanobis typicalities with MODIS time-series NDVI data and sub-national statistics can successfully overcome the earlier overestimation problem.
The proposed indirect-bounding method addresses the overestimation problem by using the isomorphic transformation, developed in Tulsyan and Barton (2017a), to map the system into a transformed state space, where comparison-based methods yield tight bounds.
Although the medical cost knowledge index partly captures specific health awareness, none of our indices capture media exposure and remains uncontrolled for which can lead to an overestimation problem.
However, the overestimation problem of EF in a small heart is commonly observed not only with QGS but also with both the Emory Cardiac Toolbox [19] and 4DM-SPECT [20] when assessing patient data [21].
Systematic serological tests of suspected cases were performed to confirm the diagnosis and illustrated this overestimation problem.
This work solves this overestimation problem using experimentally verified non B-cell epitopes derived from IEDB [ 22].
We noticed that different types of samples in any of the training, test and independent sets are imbalanced, which would lead to the overestimation problem.
Most researchers [ 21, 29, 30] dealt with this overestimation problem by extracting a random sample of the protein sequences in Swiss-Prot [ 31].
