Sentence examples for be relevant for solving from inspiring English sources

Exact(2)

That year, Richard Hamilton, a mathematician at Cornell, published a paper on an equation called the Ricci flow, which he suspected could be relevant for solving Thurston's conjecture and thus the Poincaré.

Traditionally, numerical machine learning deals with unstructured data, in the form of vectors: neural networks, graphical models, support vector machines, handle vectors of features that are assumed to be relevant for solving the problem at hand (classification or regression).

Similar(58)

Many of the technologies Uber built in autonomous cars, Mantri said, are relevant for solving certain problems with scooters.

This kind of "context specificity", which is relevant for solving concrete situations, is also mentioned in psychological studies (Funke 2003; Jonassen 2000).

Furthermore, our system only acquires and stores the minimal set of information that is relevant for solving the given task.

However, the dynamic coupling of multiple processing modules allows for the extraction of specific, more complex features that are relevant for solving the given task.

It is unclear how instructional activities should be designed to optimize learning of conceptual and procedural knowledge that is relevant for solving ill-structured problems in health professions.

All those experiments suggest, that locations that are relevant for solving a certain task are preferred in contrast to locations containing no such information.

The presented work contributes to a task-dependent representation of visual scenes, because only those pieces of information are acquired and stored that are relevant for solving the given task.

They should enter into a dialogue with the community which will more likely direct their action also towards the social determinants of health that, in community members' eyes, are relevant for solving their health problems.

Thus, reading phylogenies may be a similar problem to interpreting schematics in physics (Chi et al. 1981) or mathematic problems (Silver 1979), where experts readily parse out which aspects of the figure/question are relevant for problem solving because they know and understand the concepts underlying the problem, while novices are distracted by superficial features.

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