2 citations · 3 across the 4 of their papers we have counts for
3 papers · 1 filter
Robust Entropy Search for Safe Efficient Bayesian Optimization
Dorina Weichert, Alexander Kister, Sebastian Houben +2
The practical use of Bayesian Optimization (BO) in engineering applications imposes special requirements: high sampling efficiency on the one hand and finding a robust solution on…
Capturing and incorporating expert knowledge into machine learning models for quality prediction in manufacturing
Patrick Link, Miltiadis Poursanidis, Jochen Schmid +4
Increasing digitalization enables the use of machine learning methods for analyzing and optimizing manufacturing processes. A main application of machine learning is the constructi…
Compensating data shortages in manufacturing with monotonicity knowledge
Martin von Kurnatowski, Jochen Schmid, Patrick Link +5
Optimization in engineering requires appropriate models. In this article, a regression method for enhancing the predictive power of a model by exploiting expert knowledge in the fo…