Explainable Machine Learning for Scientific Insights and Discoveries

Machine learning methods have been remarkably successful for a wide range of application areas in the extraction of essential information from data. An exciting and relatively recent development is the uptake of machine learning in the natural sciences, where the major goal is to obtain novel scient...

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Veröffentlicht in:	IEEE access Jg. 8; S. 42200 - 42216
Hauptverfasser:	Roscher, Ribana, Bohn, Bastian, Duarte, Marco F., Garcke, Jochen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Approximation algorithms Biological system modeling Data mining Data models Domains Explainable machine learning informed machine learning interpretability Kernel Machine learning Mathematical model scientific consistency transparency
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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