Sentence examples for constrained contexts from inspiring English sources
As countries strive to strengthen their health systems in resource constrained contexts, policy makers need to know how best to improve the performance of their health systems.
Techniques for recognizing and manipulating objects, reliably navigating spaces, and planning actions have worked in some narrow, constrained contexts, but they have failed in more general circumstances.
In Experiment 1, we embedded those same previews/targets into constrained sentence contexts and in Experiment 2 we replicated the effects reported by Schotter (2013; in neutral sentence contexts) and Experiment 1 (in constrained contexts) in a within-subjects design.
In both experiments, we found an early (i.e., first-pass) apparent preview benefit for semantically associated previews in constrained contexts that went away in late measures (e.g., total time).
Finding ways to work within politically and socially constrained contexts – and, when necessary, to contest them – is a key priority.
Deception in the psychology laboratory with relatively small numbers of participants may pose ethical dilemmas very different from those that arise in the less constrained contexts of studies involving larger numbers of people in other settings.
We discuss how two projects being conducted within the group, Multi-Attribute Resource Intermediary (MARI) and Wherehoo, can be combined to exploit the functionality afforded by a brokering architecture in a geographically constrained context.
We demonstrate that a major difficulty in training any RNN is the problem of exploding gradients, and we propose a solution to this in the case of tracking problems, by introducing a stabilization matrix and by using carefully constrained context units.
In this paper, we presented several local operations on the visual primitives presented in Ref. [9], which produce a robust representation of visual scenes, some of them making use of the (still locally constrained) context.
To address the former, we combine a bespoke design of the user experience tailored so as to constrain context, with a deep learning approach based on Recurrent Convolutional Neural Networks, to identify failures to follow the movement protocol.
How is the city viewed in the low carbon transition: as an actor able to influence developments, as a niche in which innovations contributing to transitions can be tried and tested or as a regime that forms the constraining context for transformations?
