Sentence examples for more robust decision from inspiring English sources

Instruments for policy development have to reflect uncertainties and address possible solutions in a way that foster more robust decision making despite lacking reliable predictions.

This contributes to the fact that increased connectivity in the network is accompanied by a more robust decision making mechanism.

These values can be adjusted using machine learning techniques or more robust decision making algorithms, but those are out of the scope of this work.

Improved parameterisation of dynamic transmission models gained from work of this type will aid in the development of more robust decision support tools to assist health policy makers and planners.

It is worthwhile to point out that, compared with the standard SVM, our DCA-SVM has a different feature space due to the true-signals extraction from DCA, which leads to a more robust decision rule than the standard SVM (C-SVM) for inviting the de-noised data with the subtle data characteristics in the optimal hyperplane construction.

Other aspects of improvement include more robust decision-making tools that select the best recycling methods and improved capacity for recycling plastic chemically.

The intuitive premise behind the concept of SPECTRUM is that decision makers can make more robust decisions that consider exhaustively the key factors that significantly influence the choice of incentive for motivating large-scale participation in mobile crowdsensing.

Reports from specialised MDMs within the fields of gastroenterology and endoscopy have commented that increased, more rounded, clinician input contributes to a more robust decision-making process and closer analysis of the full range of management options.

If controlled vocabularies were in routine use to encode the patient's medication list (allergies, clinical problems and diagnoses, clinical laboratory results, radiologic images, etc). much more robust clinical decision support would be possible, and which could be sharable across implementations.

The more information available at the time of the MDT discussion, the more robust the decision making process will be.

It is the process of combining information from different sensors to provide a more stable and more robust classification decisions.