Sentence examples for representation process from inspiring English sources
The group representation process, which one critic has characterized as "force-feeding" selected candidates into government, has become a target this year for discontent over the selection process.
The quantitative nature of the classification structure developed to support this procedure offers a mechanism that may be further developed and integrated into research aiming to support the computerisation of the knowledge elicitation and representation process.
Additionally, we discuss the general issues and problems of computational modelling (e.g. scale and resolution, data availability, process representation, process parameterization, model calibration, non-linearity, and uncertainty), and the extent to which these hamper the usefulness of the models as a tool in environmental landscape studies.
The graphical and executable rendering of knowledge bases within NetWeaver™ greatly facilitates the knowledge engineering process, as it permits the inclusion of the domain expert(s) in the knowledge representation process and hence encourages greater participation in the design of the final knowledge-based model.
Figure 1 shows a flowchart of the region-level image representation process.
This would mean ending the scourge of gerrymandering in congressional districts, employing instead a "fair representation" process that would use multi-seat districts and ranked choice voting.
Flower (1990) conducted a think aloud study to investigate four undergraduates' task representation processes on reading-into-writing tasks in an EAP classroom setting.
Thus, the extent to which spatial representation processes are shared by different knowledge domains remains unclear.
This further strengthens its unique and preserved role in real-world representation processes.
Despite this, spatial representation processes are not shared by different knowledge domains.
Furthermore, we contribute to the existing evidence that multimodal representation processes involve neural networks that are differentially affected by aging.
