Sentence examples for more robust learning from inspiring English sources

We propose a small set of actions that derive AMR subgraphs by transformations on spans of text, which allows for more robust learning of this stage.

It is argued that storyboarding offers an opportunity for systematising thought experiments and peer feedback towards more robust learning task designs and theoretical conjectures.

The simulations predict that a third training paradigm, called staged learning, will produce more robust learning on average than the progressive paradigm used in published behavioral studies.

We suggest that the empirical results of RCTs to date are consistent with social programs having high dimensional design space and outcomes sensitive to design and hence project/program/policy design must depend on more robust learning strategies than the attempt to directly apply results from "systematic reviews" or move prematurely to an RCT.

In a Scientific American blog, I wrote that diversity is a 'foundational prerequisite for program excellence.' Through diversity, we gain a broader variety of perspectives to address complex scientific problems, more robust learning environments, improved global competitiveness, and enhanced public trust.

"We think the Coursmos' organization and singularly focused commitment to learning in short bursts of related course videos make for a much more robust learning environment," he adds.

The optimal control approach can be made more robust to learning by deemphasizing the stabilization of real economic activity and interest rates relative to inflation in the central bank loss function.

In the future work, we will focus on searching for the more robust statistical learning algorithm for gaining gait nonlinear information to evaluate the change of gait symmetry in pathologies and physiological mechanisms.

I developed a better all-round game under him and I became more robust physically, learnt to look up more and play better passes and generally improved greatly as a team player.

To cope with these challenges and to develop a more robust and accurate learning method, ensemble learning methodology is utilized.

Second, the entropy term provides regularization, resulting in more consistent and robust learning when compared to deterministic methods.