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To solve the problem, they proposed the elastic net estimator as a bias-corrected version of the naive elastic net estimator given by: (5) However, the elastic net suffers from too many false positives in the variable selection problem for extremely high-dimensional data, which will be illustrated in Simulation Section.
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Its performance is illustrated in simulation.
The advantages of this approach are illustrated in simulation studies.
The obtained design results and their properties are illustrated in simulation examples.
The methods are illustrated in simulation of a realistic setup of a nano-satellite pair.
The performance of the different SSTO designs is illustrated in simulation for several case studies.
This control in particular handles the effect of proximity forces, and the results are illustrated in simulation.
Informal justification of the approach is presented and it properties are illustrated in simulation experiments with decentralized LQG control.
The theoretical concepts are illustrated in simulation via the run-to-run optimization of a batch emulsion polymerization reactor.
The effectiveness and performances of the method are illustrated in simulation by considering a nonlinear system: a Three-Tank system.
The approach is presented for discrete-time systems, and is illustrated in simulation by an application example corresponding to a problem of fault detection in pipelines.
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