Sentence examples for knowledge for a given from inspiring English sources

This framework suggests some potential barriers to "effective linking" – that is, selecting advice targets who are more experienced, have more desirable leadership skills and qualities, and have school-specific knowledge for a given principal.

It is estimated that the functionally significant body of knowledge for a given medical specialty changes radically every 8 years.

In previous work (Andrade and de Araújo Macêdo 2013a,b), we presented an infrastructure for systematically representing distilled architecture design knowledge for a given application domain (design space), along with a domain-independent architecture optimization engine as the underlying mechanism for explicitly eliciting design trade-offs (conflicting quality attributes).

In the context of gene selection, the resulting feature subset can be interpreted as a signature that captures significant knowledge for a given diagnostic task.

In addition to providing a structured summary of metabolism-related knowledge for a given species, a constraint-based model allows the prediction and analysis of a variety of properties resulting from topological, stoichiometric, and physiological constraints known to apply at steady-state to its global metabolic network.

Techniques such as GC/MS generate extremely rich datasets; however, these methods are somewhat limited in that they (i) require a priori knowledge of a given metabolite for identification; (ii) contain significant amounts of data not relevant to a given experiment; and (iii) provide a static view of metabolism.

However, we want to support our study on the knowledge of a given ground-truth for the benchmark images.

But the FDA and NICE have little knowledge of a given patient's tolerance for pain, fear of death, desire to live, general values or health status.

A promising approach to overcoming these difficulties is to develop techniques for encoding knowledge in a reusable form so that large portions of a knowledge base for a given application can be assembled from knowledge repositories and other systems.

Knowledge and uncertainty were represented in the form of a Bayesian belief network that permitted the storage of diagnostic knowledge and, for a given case, the collection of evidence in a cumulative manner that provided a final probability for the possible diagnostic outcomes.

On the other hand, a candidate gene-based approach might suffer from the limited knowledge about candidates for a given trait and hence only a part of the genetic variation for this trait is captured.