Zobrazeno 1 - 10
of 17
pro vyhledávání: '"prediction policy"'
Autor:
Rolnick, Arthur J.
Publikováno v:
Journal of Political Economy. Apr75, Vol. 83 Issue 2, p438. 4p.
Autor:
Nelson, Charles B.1
Publikováno v:
Journal of Economic Literature. Sep75, Vol. 13 Issue 3, p915. 3p.
Large-scale data show promise to provide efficiency gains through individualized risk predictions in many business and policy settings. Yet, assessments of the degree of data-enabled efficiency improvements remain scarce. We quantify the value of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::ba84b1afb3076c46693de264d23b3493
https://hdl.handle.net/10419/233050
https://hdl.handle.net/10419/233050
Personendaten aus der Verwaltung (Administrativdaten) haben sich in den letzten Jahrzehnten als wichtige Basis zur Evaluierung von Politikmaßnahmen erwiesen. Durch maschinelles Lernen können basierend auf diesen Daten auch Vorhersagen getroffen wer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64cdf355cde00d43bcbda0da4c7ac708
https://hdl.handle.net/10419/233784
https://hdl.handle.net/10419/233784
Akademický článek
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Autor:
Ribers, Michael, Ullrich, Hannes
Human decision-making differs due to variation in both incentives and available information. This generates substantial challenges for the evaluation of whether and how machine learning predictions can improve decision outcomes. We propose a framewor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::a6078403a05b5b5c78a15e5b1b99ae2c
https://hdl.handle.net/10419/226823
https://hdl.handle.net/10419/226823
Autor:
Ribers, Michael Allan, Ullrich, Hannes
Human decision-making differs due to variation in both incentives and available information. This generates substantial challenges for the evaluation of whether and how machine learning predictions can improve decision outcomes. We propose a framewor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::b78917285b790082ee33d9c913638351
https://hdl.handle.net/10419/229520
https://hdl.handle.net/10419/229520
Autor:
Ribers, Michael Allan, Ullrich, Hannes
Antibiotic resistance constitutes a major health threat. Predicting bacterial causes of infections is key to reducing antibiotic misuse, a leading driver of antibiotic resistance. We train a machine learning algorithm on administrative and microbiolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::c6b8b67a488b31837e47193f95fcc8c7
https://hdl.handle.net/10419/201880
https://hdl.handle.net/10419/201880
Autor:
Ribers, Michael, Ullrich, Hannes
Antibiotic resistance constitutes a major health threat. Predicting bacterial causes of infections is key to reducing antibiotic misuse, a leading driver of antibiotic resistance. We train a machine learning algorithm on administrative and microbiolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::7c640c0c91e62120ef99309d3ea926e7
https://hdl.handle.net/10419/196835
https://hdl.handle.net/10419/196835