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Author:Hansen, J. V.
McDonald, J. B.
Stice, J. D.
Title:Artificial intelligence and generalized qualitative- response models: An empirical test on two audit decision- making domains.
Journal:Decision Sciences
1992 : MAY/JUN, VOL. 23:3, p. 708-723
Index terms:AUDITING
DECISION ANALYSIS
STATISTICAL METHODS
ARTIFICIAL INTELLIGENCE
Language:eng
Abstract:Machine learning methods are currently the object of considerable study by the artificial intelligence community. Research on machine learning carries implications for decision making in that it seeks computational methods that mimic input-output behaviors found in classes of decision- making examples. At the same time, research in statistics and econometrics has resulted in the development of qualitative response models that can be applied to the same kind of problems addressed by machine-learning models.
SCIMA record nr: 106924
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