Machine Learning Interpretability: A Survey on Methods and Metrics

Machine learning systems are becoming increasingly ubiquitous. These systems’s adoption has been expanding, accelerating the shift towards a more algorithmic society, meaning that algorithmically informed decisions have greater potential for significant social impact. However, most of these accurate...

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Veröffentlicht in:	Electronics (Basel) 2019-08, Vol.8 (8), p.832
Hauptverfasser:	Carvalho, Diogo V., Pereira, Eduardo M., Cardoso, Jaime S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accountability Algorithms Artificial intelligence Decision support systems Literature reviews Machine learning Neural networks Public policy Quality assessment Recommender systems Society Transparency
Online-Zugang:	Volltext
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