Sentence examples for data gathering procedures and from inspiring English sources

There is a clear need for more consistent data collection protocols and for systematic studies of the effects of variability in data gathering procedures and data collection effort on observed network structure.

We proposed a generic idea that involves employing these algorithms as part of a pipeline in which the training data gathering procedure and the training process are automated.

In the remainder of this paper, we define a generic pipeline for the purpose of ApicoTP prediction (hereafter referred to as the ApicoAP pipeline) that consists of an automated training data gathering procedure and the ApicoTP classifier training routine.

By defining these algorithms in a pipeline in which the training data gathering procedure and the learning process are automated, one can create a system that generates a classifier or predictor using information available from public resources.

For this case study, we selected the apicoplast-targeted protein prediction problem and utilized the existing machine learning model that we developed previously, ApicoAP [ 6], in a pipeline comprised of an automated training data gathering procedure and the classifier training routine defined as part of the ApicoAP model.

The data collectors were thoroughly trained on the questionnaire and data gathering procedures.

Consent was obtained for the formal data gathering procedures i.e. the interviews and the focus groups, where a digital voice recorder was used.

Due to data gathering procedures, these data are biased towards recent samples and towards samples from the USA and New Zealand.

Nonetheless, different data gathering procedures can be envisaged realizing the Radon-like CS using a random access criterion.

Therefore, utilizing orthology search strategies in training data gathering procedures, especially for subcellular localization prediction tasks, is a common practice.

Although originally designed as a self-report questionnaire, we administrated a Brazilian version of PANAS via face-to-face interviews to allow standardization of data gathering procedures regardless of the literacy level of the participant.