Rethinking the gold standard with multi-armed bandits : machine learning allocation algorithms for experiments
Year of publication: |
2021
|
---|---|
Authors: | Kaibel, Chris ; Biemann, Torsten |
Published in: |
Organizational research methods : ORM. - London [u.a.] : Sage, ISSN 1552-7425, ZDB-ID 2029600-9. - Vol. 24.2021, 1, p. 78-103
|
Subject: | ethics in research | experiments | exploration versus exploitation | machine learning | multi-armed bandit | randomized controlled trial | Experiment | Künstliche Intelligenz | Artificial intelligence | Lernprozess | Learning process | Theorie | Theory | Goldstandard | Gold standard |
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