Sentence examples for small number of random from inspiring English sources

It's not science, nothing is proved by a small number of random stunts.

With a small number of random trajectories, (widetilde {Q}_{m}(a -widetilde {Q}_{m}(a -widetildeH}})) has less fluctuation than that of (widetilde {Q}_{m}(a^{mathcal

Compressive sensing (CS) [1, 2] is an emerging theory concerning the acquisition and recovery of sparse signals from a small number of random linear projections.

This relatively small number of random trials contributed to the non-smoothness in the data, but this sufficiently illustrates the trend of relationship between the parameters.

Compressed sensing (CS) [8-10] is a recently proposed sampling method which states that if a signal is sparse, it can be faithfully reconstructed from a small number of random measurements.

For the proposed experiment (see Fig. 3), all methods perform relatively well at reconstructing the sparse signal from a small number of random measurements, except the ℓ 2-based ℓ 1-LS method.

The CS principle claims that if a signal is compressive or sparse in a certain transform domain, it can be projected onto a low-dimensional space using a measurement matrix which is irrelevant with transform basis while still enabling reconstruction at high probability from these small numbers of random linear measurements via solving an optimization problem.

His research, as explained by The MacArthur Foundation, "focuses on reconstructing high-resolution images from small numbers of random measurements, as well as recovering the missing entries in massive data tables".

For the identification of overrepresented binding sites in large gene sets, it is advisable to use more restrictive thresholds (a smaller number of random matches).

So far, the stochastic Galerkin method has been successfully used for various problems with small number of independent random variables.

The method's utility requires that the spatially and temporally varying uncertainties of the inflow be characterized by a small number of independent random variables, which here correspond to amplitudes of spatiotemporal modes inferred from an available boundary climatology.