Sentence examples for parametric setting from inspiring English sources

The GA parametric setting results for the model showed that the most suitable value for the GA mutation rate was 0.15, while the crossover rate value was 0.30.

The design of the optimally reduced feature space is investigated in a parametric setting by varying the size of the core feature set and the training set.

Once these variables are specified and estimated within a parametric setting and for a given loss data set, the loss distribution can be easily simulated within a Monte Carlo framework.

However, the parametric real-time and many-query contexts represent also computational opportunities, since an important role in the RB paradigm and computational stratagem is played by the parametric setting.

In a parametric setting, it is shown that the Fisher information matrix about the unknown parameters of a GRSS sample minus that of an SRS sample of the same size is always positive definite.

The crucial parameters most affecting the thermal performance of the module are identified, and further applied in the subsequent experimental design using a Taguchi method to pursue the optimal parametric setting for maximal thermal performance.

(e) If Q, ψ are identity mappings and Ω ( y, η ( x ), γ ) = y − x, Θ ( y, ψ ( x ), γ ) = 0, K ( x, γ ) = K , Λ = M and C ( x ) = C with C ⊆ Y is a pointed closed and convex cone in Y with int C ≠ ∅, then the problem (MQVIP) is reduced to the following parametric set-valued weak vector variational inequality (in short, (PSWVVI)): This problem was studied in [5].  .

If Q, ψ are identity mappings and Ω ( y, η ( x ), γ ) = y − x, Θ ( y, ψ ( x ), γ ) = 0, K ( x, γ ) = K , Λ = M and C ( x ) = C with C ⊆ Y is a pointed closed and convex cone in Y with int C ≠ ∅, then the problem (MQVIP) is reduced to the following parametric set-valued weak vector variational inequality (in short, (PSWVVI)): This problem was studied in [5].

For parametric set up, the true FDR is very much close to the controlled one, whereas, for nonparametric empirical Bayes these values are not so close as the true fraction of DE transcripts increases.

Numerically, using parametric set 3, the value of (h_{1}) is 0.78.

We consider a parametric set-valued vector equilibrium problem, denoted by SVEP, which consists in finding such that (1.3).