Sentence examples for counterpart models from inspiring English sources

In this work, a novel iterative linearization scheme is proposed to effectively solve nonlinear robust counterpart models.

These results were confirmed when models constraining the factor loadings to be equal (thereby imposing Tau equivalence) were run for each factor and compared to their counterpart models which were unconstrained.

However, decision tree model with either 4-h alore or its combination with 2-h or 3-h did not suffer in diagnostic utility compared with its counterpart models identified with either LDA or DF approach, regardless of data transformation.

For example, if a K d = K ′ d model assumes symmetric oligomers (e.g. as in Eqs. 9 and 10) and the model space does not include counterpart models that assume asymmetric forms, the selection process can lend no additional support to the symmetry assumptions.

For this purpose large-scale benchmark problems are solved by the proposed model and also its original sequential counterpart model.

The crisp counterpart model is presented for the fuzzy random chance maximization multiobjective linear programming with L-R type fuzzy random coefficients.

However, unlike former studies in the field of robust optimization, the resulting optimization model in the flood risk management problem is nonlinear and discontinuous and leads to an intractable robust counterpart model.

Hence, a dPEKS model that is more analogous to the KG-CKA PEKS model of its PEKS counterpart and that better preserves the adversarial setting in moving from PEKS to dPEKS, would appear to be the stronger KG-sCKA dPEKS model where the dTest function is also readily available to the adversary as an oracle query, as like in the KG-CKA PEKS counterpart model where Test is public.

Applicability and robustness of the proposed model are illustrated by using a medium real case study from a European consumer goods company whereas its benefits are valued through a comparison with a counterpart model that utilizes the mainstream fixed echelon network structure.

Additionally, the change in the c-statistic was greater for each model in the age-restricted cohort model than for the counterpart model in the full cohort.

However, ironically, our understanding about the complexity of the transcriptomes in this model bacterium is rather limited compared to its counterpart model Gram-positive bacterium B. subtilis[ 25].