Sentence examples for prefer sparse from inspiring English sources

Exact(1)

α < 1 prefer sparse distributions, i.e., most of the probabilities f j returned will be close to 0, and the vast majority of the mass will be concentrated in a few of them.

Similar(59)

We concluded that patients could direct the gaze into the ROI, but preferred sparse fixations.

Then, it is plausible that in voluntary movements (free visual search test) patients, affected by cerebellar disease, adapted visual search exploration to minimize the saccade control effort; they preferred sparse fixations and short saccades, but maintained overall saccade energy around a minimum point.

Generally, iterative methods are preferred for sparse linear system solvers because the sparse matrix vector product is the main operation during each iteration.

Our results show that the RTS/CTS approach is more suitable for dense networks with high date rate, whereas the random access approach is preferred in sparse networks with low data rate.

Based on our results, we conclude that the simple random access approach is preferred in sparse networks with very low data traffic; while RTS/CTS has better performance when the network gets denser and the data rate becomes higher.

In plant breeding, Wimmer et al. (20) recommend that dense whole-genome models should be preferred over sparse ones, since most traits of agronomic performance are assumed to have many small genetic effects, and medium trait heritabilities, while the genomic data exhibit a large extent of LD.

Increased prey accessibility and avoidance of predation risk are the two reasons for which ground foraging insectivorous birds appear to prefer foraging in sparse vegetation, despite higher food abundance in dense vegetation.

I prefer a busy page to a sparse one.

Most of the rooms, including former servants' quarters, are small and sparse, but for those who prefer more sumptuous accommodations, there are three luxury suites with four-poster beds and private baths.

Because of the weakly sparseness of the sources in noise, we hereafter prefer following[37] dedicated to stable recovery of not exactly sparse signals.

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