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Model robustness and parameter estimation.
Results have shown high classification success rate, together with the model robustness and insensitivity to variations of bone mechanical properties.
The CQR-ORELM model offers flexibility and efficiency to explore potential nonlinear characteristic among wind speed variables and improve model robustness and predictive capability.
The optimization model simultaneously considers demand uncertainty, model robustness, and risk preference of the decision maker to agree better with actual practices.
Like its real-valued counterpart, the proposed algorithm aims to achieve maximised model robustness and sparsity by combining two effective and complementary approaches.
Sensitivity analysis confirmed model robustness and justified coupling with an automatic shell algorithm for automatic optimization, based on a single output.
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Strict validation procedures were used to guarantee the models' robustness and predictive ability.
Since it began about 50 years ago, CFD has made important progress in terms of accuracy of the physical models, robustness and efficiency of the nonlinear solution algorithms and reliability of the overall prediction approach.
We evaluated the models' robustness and representativeness in three ways.
Randomization, stratified leave-group-out (LGO) cross-validation and external validation (predicting the class for the independent 98-compound test set) were used to assess all models robustness and predictive ability.
Mr. Chwe (pronounced CHEH), the author of papers like "Farsighted Coalitional Stability" and "Anonymous Procedures for Condorcet's Model: Robustness, Nonmonotonicity and Optimality," had never cracked "Emma" or "Pride and Prejudice".
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com