Oct 29, 2020 · In this article, a regression method for enhancing the predictive power of a model by exploiting expert knowledge in the form of shape constraints, or more ...

In this article, we introduce a regression method for enhancing the predictive power of a model by exploiting expert knowledge in the form of shape constraints.

We set up the regression subject to the considered monotonicity constraints as a semi-infinite optimization problem, and propose an adaptive solution algorithm.

Systematic decision making in engineering requires appropriate models. In this article, we introduce a regression method for enhancing the predictive power ...

In this article, we introduce a regression method for enhancing the predictive power of a model by exploiting expert knowledge in the form of shape constraints.

Nov 2, 2020 · We present a regression method for enhancing the predictive power of a model by exploiting expert knowledge in the form of shape constraints.

Works (2) · Compensating Data Shortages in Manufacturing with Monotonicity Knowledge · Yielding and failure of an assembly of frictional elasto-plastic particles: ...

Apr 25, 2024 · Anke Stoll: Compensating Data Shortages in Manufacturing with Monotonicity Knowledge. Algorithms 14(12): 345 (2021); 2020. [i1]. view.

... Compensating data shortages in manufacturing with monotonicity knowledge, Algorithms 14/12 (2021) Art. 345, 18 pp. Link; Wessel, A.; Morand, L.; Butz, A ...

Compensating data shortages in manufacturing with monotonicity knowledge. M Kurnatowski, J Schmid, P Link, R Zache, L Morand, T Kraft, I Schmidt ...