Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty

Information Sciences

Volumn 255, Issue , 2014, Pages 16-29

  Senge, Robin ^a   Bösner, Stefan ^a   Dembczyński, Krzysztof ^b   Haasenritter, Jörg ^a   Hirsch, Oliver ^a   Donner Banzhoff, Norbert ^a   Hüllermeier, Eyke ^a  

^a PHILIPPS UNIVERSITY MARBURG   (Germany)

^b POZNAN UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Classification; Machine learning; Medical decision making; Medical diagnosis; Uncertainty

Indexed keywords

EPISTEMIC UNCERTAINTIES; FUZZY PREFERENCE RELATIONS; MEDICAL DECISION MAKING; PROBABILISTIC APPROACHES; PROBABILITY AND STATISTICS; SAFETY CRITICAL APPLICATIONS; STATISTICAL VARIABILITY; UNCERTAINTY;

CLASSIFICATION (OF INFORMATION); DECISION SUPPORT SYSTEMS; DIAGNOSIS; LEARNING SYSTEMS;

UNCERTAINTY ANALYSIS;

EID: 84886092148     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2013.07.030     Document Type: Article

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