Sentence examples for select the knowledge from inspiring English sources

The role of the used acceptance function in belief space is to select the knowledge of the best individuals to update the current knowledge.

To be able to select the relevant countries, knowledge is required about the current position of the victim in other criminal justice systems.

To compare and contrast different knowledge synthesis methods and map their specific steps through a scoping review to gain a better understanding of how to select the most appropriate knowledge synthesis method to answer research questions of complex evidence.

This increasingly unconditional freedom of access to information that risks producing the dilution and loss of the sense of communication as an undesirable downside, requires a capacity to select the information and knowledge available, which needs to be based - in order to be carried out in a reasonable, effective and not purely casual, inappropriate way - on a precise criterion of pertinence.

Efficiency compared with quality of the knowledge acquired can provide a good mechanism to select the most suitable technique to knowledge externalization for each situation.

It is the job of the knowledge brokers at the knowledge mobilisation unit to select the right service(s) for the right researcher and partner.

In discussing this vignette, trainers pondered the context-dependency of knowledge (evidence), its evolutive nature and the need to select the most plausible interpretation of knowledge in a given situation.

The proposed functional SVM supervector reconstruction method does not rely on prior knowledge to select the functional to reconstruct the supervector.

Besides, they assessed their domain of knowledge to select the appropriate and available element to form their responses and recognize unclear phrases through rereading instruction and examining the graphic information.

Someone (or more likely a certain subset of people) must select the perspectives that count as knowledge.

Here we propose using prior knowledge to select the most appropriate regularization method to avoid such overfit.