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The results of this study show that use of the regularized constitutive models significantly improved the accuracy of response predictions.
We made use of the regularized regression based multi-task learning approaches using five personality traits and four leadership traits from the ELEA dataset and five personality traits from the VLOG dataset as tasks.
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The coupling to the fluid is accomplished by the use of the method of regularized Stokeslets for the force and regularized rotlets for the torque.
The problem of matrix singularity for this class of systems is solved by using the property of the regularized inverse and by introducing a compensator term in the proposed control law.
Traction forces were reconstructed from the bead displacements using an implementation of the regularized Fourier Transform Traction Cytometry (FTTC) method (Butler et al., 2002) provided by Sabass et al. (2008).
The use of a regularized contact model in the underlying state problem makes it possible to use efficient smooth optimization algorithms for the systematic synthesis of CCMs.
In all other instances, the use of a regularized estimator is absolutely vital (e.g., the Stein-type shrinkage estimator of [ 20]) in order to improve efficiency and to guarantee positive definiteness.
Another multi-task learning method making use of regularized regression is the trace norm regularized method proposed by Chen et al. [43].
The use of a regularized friction law allows obtaining good convergence of such models.
We present a least-squares formulation with improved velocity pressure coupling, based on the use of a regularized divergence-free constraint.
In addition, the computation of the angular velocity of the rod requires the use of regularized (potential) dipoles.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com