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Obtaining Well Calibrated Probabilities Using Bayesian Binning

Learning probabilistic predictive models that are well calibrated is critical for many prediction and decision-making tasks in artificial intelligence. In this paper we present a new non-parametric calibration method called Bayesian Binning into Quantiles (BBQ) which addresses key limitations of exi...

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Detalhes bibliográficos
Publicado no:Proc AAAI Conf Artif Intell
Main Authors: Naeini, Mahdi Pakdaman, Cooper, Gregory F., Hauskrecht, Milos
Formato: Artigo
Idioma:Inglês
Publicado em: 2015
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4410090/
https://ncbi.nlm.nih.gov/pubmed/25927013
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