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Conversely, the proposed approach is based on the regularized eXtended Finite Element Method with a mechanism-based detachment.
In this work, we aim to design an incremental CF recommender based on the Regularized Matrix Factorization (RMF).
Based on the regularized Nikaido-Isoda function, we reformulate the set of normalized Nash equilibria, which is a subset of the generalized Nash equilibria, as solutions of a MPCC and we solve the MPCC by a smoothing method.
An example of these shortcomings is shown in Figure 3A, where class assignment is attempted based on the regularized covariance matrices of under-sampled data points from three two-dimensional classes.
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Based on the above consideration, the regularized particle filter (RPF) has been proposed in [31] where the Kernel density is introduced to approximate the true posterior density with a continuous density function.
The p-values were calculated based on the absolute value of the regularized t-statistic [ 59], which uses a Bayesian framework to derive the algorithm, using internal replicated controls to assess the minimum technical variability of the process.
We present a least-squares formulation with improved velocity pressure coupling, based on the use of a regularized divergence-free constraint.
To this end, a macroscopic framework is proposed for a continuum phase field modeling of fracture in porous media that provides a rigorous approach to a diffusive crack modeling based on the introduction of a regularized crack surface.
Based on the integral equation method and regularization theory, the regularized conjugate gradient method (RCGM) is presented for studying wave scattering from a one-dimensional rough surface with tapered wave incidence.
In this paper, based on the viscosity approximation method and the regularized gradient-projection algorithm, we find a common element of the solution set of a constrained convex minimization problem and the set of zero points of the maximal monotone operator problem.
By applying a spectral graph theoretic regularization (Chung, 1997), we developed a method to transform the feature space based on the training examples so that regularized graph energy between data points of extremely different morphology is minimized.
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