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Informed machine learning through functional composition

 
: Bauckhage, C.; Ojeda, C.; Schücker, J.; Sifa, R.; Wrobel, S.

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Fulltext ()

Gemulla, R.:
Conference "Lernen, Wissen, Daten, Analysen", LWDA 2018. Proceedings. Online resource : Mannheim, Germany, August 22-24, 2018
Mannheim, 2018 (CEUR Workshop Proceedings 2191)
http://ceur-ws.org/Vol-2191/
ISSN: 1613-0073
pp.33-37
Conference "Lernen, Wissen, Daten, Analysen" (LWDA) <2018, Mannheim>
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
01/S18038C; ML2R
English
Conference Paper, Electronic Publication
Fraunhofer IAIS ()

Abstract
Addressing 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.

: http://publica.fraunhofer.de/documents/N-520575.html