Sentence examples for matrices that capture from inspiring English sources

The WorldClim database provides high-resolution climate matrices that capture climate variability and also extreme or limiting climate factors.

The model assumes that the model matrix W can be decomposed into two matrices that capture task relatedness and group sparsity.

For instance, SARMs can be easily ranked on the basis of numerical functions that prioritize matrices containing preferred substituent combinations or core structures and SAR transfer events or matrices that capture high degrees of local SAR continuity or discontinuity.

To eliminate the spatial autocorrelation effect, we constructed a physical distance matrix that captures the pairwise Euclidean distance between the injection sites.

In this manifold model, each domain is represented by a Laplacian matrix that captures the closeness to other instances sharing the same label.

This work explored a potential new model dispersion fuel form consisting of an actinide material embedded in a radiation tolerant matrix that captures fission products (FPs) and is easily separated chemically as waste from the fuel material.

where N = M + D; H is the N × N lower triangular Toeplitz filtering matrix with its first column being [h j [0],..., h j [L] 0,..., 0 ]T; H IBI is the N × N upper triangular Toeplitz filtering matrix that captures the inter-block interference (IBI), with its first row being [0,..., 0 h j [0],..., h j [L] ]; and n ̃ N j denotes the AWGN noise.

The end result is a sparse regression matrix that captures intrinsic properties of gene phenotype association.

Herein, we present a 32 × 12 mutation matrix that captures the nucleotide pattern two nucleotides upstream and downstream of the mutation.

To obtain the covariance matrix for condition j in window i, we first estimate a condition specific (but not window specific) correlation matrix R ^ j, which is a P by P matrix that captures potential relationships between different factors and replicates.

As mentioned in [ 25], the factorization of the consensus matrix will generate a clustering assignment matrix that could capture the cluster structure inherent in the network.