Sentence examples for benefit of decision from inspiring English sources
When asking the question, "How can institutions design science policies for the benefit of decision makers?" Sarewitz and Pielke [Sarewitz, D., Pielke Jr., R.A., this issue. The neglected heart of science policy: reconciling supply of and demand for science. Environ. Sci.
There is need to be cautious in interpreting the potential benefit of decision aids in routine practice in pregnancy due to the limitations of the small number of randomised controlled trials and the inconsistencies in their results.
Allardyce claimed United got the benefit of decisions as the home side in the third-round replay at Old Trafford, which West Ham lost 1-0.
Although previous approaches to modeling decisions in expert systems often have sacrificed formal specification for transparent operation, our methodology suggests that knowledge engineers can retain the benefits of decision theory without compromising intuitive explanation.
As well as identifying the benefits of decision making, Moore and Kirk highlighted the limitations of the evidence.
However, we see no reason to doubt the apparently substantial benefits of decision support purely on this variety; rather the reverse.
The potential benefits of decision tools will ultimately be realized only if stakeholders have opportunities for increased communication and collaboration in malaria policymaking.
RFs capitalize on the benefits of decision trees and have demonstrated excellent predictive performance when the forest is diverse (i.e. trees are not highly correlated with each other) and composed of individually strong classifier trees (Breiman, 2001).
These are encouraging findings that suggest there is an opportunity to find common ground among stakeholders with regards to the role and benefits of decision and communication aids in orthopedics.
As an extension to classification and regression trees (CART), Leo Breiman proposed the Random Forests (RF) algorithm which retains many benefits of decision trees while achieving better results and competing with penalized SVM, Neural Networks or Gradient Boosting Machines [ 11, 12].
