2 citations · 3 across the 4 of their papers we have counts for
4 papers
Incorporating Shape Knowledge into Regression Models
Miltiadis Poursanidis, Patrick Link, Jochen Schmid +1
Informed learning is an emerging field in machine learning that aims to compensate for insufficient data with prior knowledge. Shape knowledge covers many types of prior knowledge…
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…