Sentence examples similar to sparse context from inspiring English sources

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As this implies a significant computational effort in the order of billions of scanning hypotheses we propose cascaded sparse adaptive neural networks, learning to focus the data sampling patterns of the networks on sparse, context-rich parts of the input, thereby considerably reducing the runtime and increasing the robustness of the system.

This study presents an approach for generating transient groundwater model inputs to assess the long-term impacts of dryland agricultural land reclamation on groundwater resources in a highly data-sparse context.

However sparse their context, the voices and faces of the two men nonetheless linger in the mind long after the movie is over.

As well as specific challenges, such as dealing with zero events in arms of studies, there are also potential concerns relating to the use of broadly accepted meta-analysis methods in a sparse data context due to the potentially very low power such methods may have.

Rather than trying to use cutting-edge advanced meta-analysis methodology, in a sparse data context, it may often be wiser to restrict focus to simpler methods (e.g. fixed effect models) and be realistic about the potentially limited conclusions that can be drawn from the data.

We also used feature selection, but in the sparse-data context, as a dimension augmentation technique to effectively and appropriately describe the curve and provide the most complete description of the time series possible.

And he has provided for her coolly emotional vocals, on tracks such as Strangest Feeling and Running, a sparse and spacious context, making those "dubstep Sade" labels pretty apt.

The sound of Travis is that of simple, self-examining lyrics that take on deep overtones in the context of sparse, plodding music and a vocalist, Fran Healy, who sings with restrained passion.

But previous empirical analysis on this topic is sparse and limited in context.

We are motivated by its use in the context of sparse linear solvers for computing the maximum transversal of a matrix.

Both issues are dealt with in depth and in the context of sparse computations (for the first issue) and irregular histogram reductions (for the second issue).

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