Sentence examples for a function of sparsity from inspiring English sources

For the second configuration, the average values of the four metrics as a function of sparsity s are depicted in Fig. 3 for the BIHT, RFPI, LP, GAMP, and Algorithm 3 with fixed m=1000 and n=1000.

The phase diagram is a function of sparsity s and sample size n rescaled by dimensionality p. Given this result, simulations can be used to predict the sample size threshold for future genomic analyses.

Briefly, they showed that the phase behavior of CS algorithms is related to high dimensional combinatorial geometry, and that a broad class of random matrices (matrices randomly selected from a specific ensemble, such as Gaussians) exhibit the same phase diagram (i.e., are in the same universality class) as a function of sparsity and data size rescaled by dimensionality: (ρ= s/ n, δ= n/ p).

For three groups, the Q value declined monotonically as a function of increasing sparsity; that is, maximum modularity would be greatest for networks with highest sparsity.

In order to get an idea how close the proposed bound is from the limit conjectured by Dai and Milenkovic δ K + 1 = 1 / K, we plot the bound as a function of the sparsity level K in Figure 1.

When descent is both constant within the interval and unambiguous, P i(m) = D i(m); otherwise P i(m) represents a hedged bet on which diplotype is present, and typically becomes less informed as a function of marker sparsity, recombination density, and genotyping error.

A small number (about 1%) of species were recovered in anomalous subfamilies, but this phenomenon has been noted in other MRP supertrees10,16,17,18, and is a function of both the sparsity of taxon sampling in some source trees and the degree of overlap between them18.

In addition, the area under this sparsification curve is useful for quantifying the robustness of a technique as a function of the network sparsity, which is one of the main issues for current link predictors (You et al., 2010).

Figure 7 Mel-cepstral distortion as a function of the weights of the sparsity constraints.

In this paper, all elements for λ in Equation 5 were set to 0.5 from Figure 9. Figure 9 Results of MOS test on speech quality as a function of the weights of the sparsity constraints.

Figure 7 shows the mel-cepstral distortions in the evaluation set as a function of the weights of the sparsity constraint (λ in Equation 4).