The most frequent departures from CRW were caused by disruptions in the path due to the presence of some barriers to dispersal (e.g. habitat patch boundaries in habitat, tree lines in matrix), which reflect individuals towards their point of origin [ 14].
An optimal interpolation scheme is used to assimilate the data and the design of a background error covariance matrix which reflects the local conditions and difficulties associated with a coastal domain is discussed.
Principal component loading matrix The principal component loading matrix which reflects how much a particular parameter is correlated with different factors, is obtained by premultiplying the characteristics vector with square root of the characteristics values of the correlation matrix.
In kinematics of non-redundant parallel manipulators, force Jacobian matrix is the transpose of kinematic Jacobian matrix, which reflects the truth that force and motion are two equivalent aspects of transmissibility.
Given a two dimensional matrix which reflects a relationship between two sets of items (which are actors), folding is the process of multiplying a two dimensional matrix by its transpose to obtain a new matrix where rows and columns represent the same set of actors.Folding is applied on M to find similarity between frequent itemsets.
We simulated B matrix which reflects the true associations.
A topological overlap matrix (TOM) is a matrix which reflects the similarity between each possible pair of nodes in the network in terms of their connectivity (a measure also known as modularity).
Within the graphical models context, data are considered as coming from Gaussian multivariate distributions with a structured concentration matrix (inverse of the covariance matrix), which reflects dependencies among variables.
This indicates that, for a very large dataset, a very small number of selected vectors m can be sufficient to approximate its Kernel matrix, which reflects the capability of the FS-KLR model to handle large-scale datasets.
As shown in Figure 6, the performance of FHB and FHC strategies heavily relies on the transition matrix setting, which reflects the degree of dependence between adjacent bins; and FHC strategy outperforms FHB and exomePeak under different settings tested.
