Bauckhage, ChristianChristianBauckhageOjeda, CésarCésarOjedaSchücker, JannisJannisSchückerSifa, RafetRafetSifaWrobel, StefanStefanWrobel2022-03-142022-03-142018https://publica.fraunhofer.de/handle/publica/403876Addressing general problems with applied machine learning, we sketch an approach towards informed learning. The general idea is to treat data driven learning not as a parameter estimation problem but as a problem of sequencing predefined operations. We show by means of an example that this allows for incorporating expert knowledge and leads to traceable or explainable decision making systems.en005006629conference paper