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Finally, the application of shrinkage design is given and conclusions are made.
Since the estimation of this matrix may be a challenge in large-scale networks, we study the application of shrinkage techniques to cope with the problem of having more sensors than available observations.
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In a word, by the application of shrinkage-PHD filter, multiple targets could be tracked well in low SNR environments.
A number of studies have addressed this issue using methods ranging from the calculation of air pollution indices to the application of shrinkage-based methods such as ridge regression and the lasso (Hong et al. 1999; Roberts and Martin 2005, 2006a).
Our results showed that GRR produced either similar or even lower prediction accuracies as compared to RR-BLUP, which indicates that marker selection by giving different degree of penalization through the application of different shrinkage effects is inadequate for the tested traits.
The major difficulties in implementing this idea are the development of an efficient algorithm to detect all undesirable patterns of different scales and the hierarchical application of the wavelet shrinkage method over multiple scales.
The present paper focuses on the assessment of thermo-oxidative induced chemical strain in HTS/TACTIX carbon/epoxy Organic Matrix Composites for High Temperature Applications, by inverse analysis of shrinkage profiles in unidirectional composites.
On the other hand, application of Eq. (1.c) will underestimate shrinkage stress by 30%%.
However, one of the problems for this material with such application is shrinkage cracking.
One challenge in the application of ridge regression is the choice of the ridge parameter that controls the amount of shrinkage of the regression coefficients.
Many studies have targeted the application of micro-size MgO to reduce autogenous shrinkage in cement based materials.
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