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Aquifer vulnerability assessment requires validation to reduce subjectivity in the selection of rating ranges and weight and to increase reliability (Ramos and Rodríguez 2003).
Also, the use of a single kind of cross validation to reduce the problem of over-training models has not been universally adopted.
These investigations have resulted in interventions (e.g. team-training, care bundles, skill validation) to reduce medical error and improve clinical outcomes [ 26].
Perhaps the single greatest issue with many of these modeling techniques has been the absence of any independent validation to reduce the possibility of exposure misclassification (Baxter et al., 2010).
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Therefore, we applied stratified nested cross-validation to reduce bias of the resulting error rate estimate.
Support vector machines were used to train classifiers and test prediction performance, which was evaluated via 10-fold cross-validation to reduce variability.
High sequence similarity between training and testing sets may cause a bias, so we discarded highly homologous sequences (over 70% identity) in the positive dataset before cross-validation to reduce this bias.
A major impetus for this work was to facilitate severe accident code validation and to reduce modeling uncertainties within the codes.
Two filters are simulated with the same environment in OTHR tracking system, and we also use the gating technology with multiple validation gates to reduce the number of measurements in the MD-JPDA filter.
First, we can use the gating technology with multiple validation gates to reduce the number of measurements for each propagation model before the update step at each time [11], and then we can use the similar method of "effective binary partition" that was implemented in [26] to reduce the number of partitions.
More control genes could be employed for data normalization in qRT-PCR experiments in further validation studies to reduce this source of variability [58].
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