Detecting virtual concept drift of regressors without ground truth values

Regression analysis is a standard supervised machine learning method used to model an outcome variable in terms of a set of predictor variables. In most real-world applications the true value of the outcome variable we want to predict is unknown outside the training data, i.e., the ground truth is u...

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Veröffentlicht in:	Data mining and knowledge discovery 2021-05, Vol.35 (3), p.726-747
Hauptverfasser:	Oikarinen, Emilia, Tiittanen, Henri, Henelius, Andreas, Puolamäki, Kai
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Chemistry and Earth Sciences Computer Science Data Mining and Knowledge Discovery Drift Estimates Information Storage and Retrieval Machine learning Physics Real variables Regression analysis Special Issue of the Journal Track of ECML PKDD 2021 Statistics for Engineering
Online-Zugang:	Volltext
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