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Section 2 gives the adaptive group bridge method.
We propose an adaptive bridge method and show its oracle property.
Annual profit percentage reach to 13.2% by improving HEN via bridge method.
This paper studies group selection for high-dimensional partially linear model with the adaptive group bridge method.
No chemotaxis towards or away from TCE was found using an agarose in-plug bridge method.
In this section, we investigate the finite sample performance of the adaptive group bridge method through simulations and a real data application.
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Meanwhile, we compare our results with that from lasso [14], adaptive lasso (alasso) and bridge methods.
The activation energy obtained is close to that obtained from conventional bridge methods applying an external field, and closely approximates that of the viscosity of the solvent, viz.
It is shown that Λn of NaCl and of KCl solutions parallels that obtained by conventional bridge methods though no external electric field as applied in the case of noise measurements.
However, in this study, direction and speed control of the motor is performed using the popular H-bridge method.
Several damage evolution equations are obtained by this energy bridging method.
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