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For instance, the uncertainty in modeling the correlation effect between sectorial responses has always been a challenge in the sector-by-sector synthesis approach.
Co-Kriging method can use a greater quantity of low-fidelity information to enhance the accuracy of a surrogate of the high-fidelity model by modeling the correlation between high and low fidelity model, thus computational cost of building surrogate model can be greatly reduced.
We developed a statistical technique for modeling the correlation structure in variable DNA sequence sites.
Copula functions are mainly used in modeling the correlation between stochastic variables.
This observation motivates us to propose a Spectral Feature Alignment (SFA) based method to align workflow DS templates from different domains in a latent space by modeling the correlation between the DI and DS workflow templates in a bipartite graph and using DS features as a bridge for cross-domain Big Data classification.
Figure 2c shows the coefficients of the GLMs from modeling the correlation from these proteins.
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I will describe an alternative approach for probabilistic classification of supernovae by modeling the correlations between supernova class and galaxy properties.
Choquet integral [15] is a useful tool to model the correlation or inter-dependence.
The approach of modelling the correlation as a hyperbolic function of a stochastic process has been recently proposed.
A virtual channel is used to model the correlation between the DCT coefficients of the original and SI frames.
Several alternatives have been considered in modelling the correlation time of the ionospheric residuals, including the white noise model (WN), Gauss-Markov process, and the random walk model.
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