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where β is a penalty parameter.
(3) where (beta>0) is a penalty parameter.
Interaction between structural elements is handled by a penalty parameter contact formulation.
A penalty parameter (beta) is employed to control the tradeoff between relevancy and redundancy.
where κ ∈ ℝ+ is a penalty parameter to penalize large magnitude control signals.
The parameter settings used were the following: a penalty parameter, a variance, for RBFSVM; and for LISVM.
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In addition to this optimal model, we also considered a parsimonious LASSO model with a higher penalty parameter (hereafter called LASSO-se) so that the mean deviance of the model was within one standard error of the LASSO-max average deviance [ 28, 32].
where (sigma>0) is a positive penalty parameter.
Furthermore, we also show results in dependence of a varying penalty parameter.
where λ → is the Lagrangian multiplier and θ is a positive penalty parameter.
Theoretically, μ should be a large penalty parameter in order to sufficiently penalize the constraint |∇ϕ| = 1 as a SDF.
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