Toward Explainable AI for Regression Models

In addition to the impressive predictive power of machine learning (ML) models, more recently, explanation methods have emerged that enable an interpretation of complex non-linear learning models such as deep neural networks. Gaining a better understanding is especially important e.g. for safety-cri...

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Veröffentlicht in:	arXiv.org 2023-01
Hauptverfasser:	Letzgus, Simon, Wagner, Patrick, Lederer, Jonas, Samek, Wojciech, Klaus-Robert Müller, Montavon, Gregoire
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer Science - Artificial Intelligence Computer Science - Learning Machine learning Regression models Safety critical Statistics - Machine Learning
Online-Zugang:	Volltext
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