Matches in Ghent University Academic Bibliography for { <https://biblio.ugent.be/publication/01GYF8C0SFYGC9Q1EYT4QFTFZC> ?p ?o. }
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- 01GYF8C0SFYGC9Q1EYT4QFTFZC classification P1.
- 01GYF8C0SFYGC9Q1EYT4QFTFZC date "2023".
- 01GYF8C0SFYGC9Q1EYT4QFTFZC language "eng".
- 01GYF8C0SFYGC9Q1EYT4QFTFZC type conference.
- 01GYF8C0SFYGC9Q1EYT4QFTFZC hasPart 01GYF8HG3HJB0SZSQ65FXHZ9SS.pdf.
- 01GYF8C0SFYGC9Q1EYT4QFTFZC subject "Mathematics and Statistics".
- 01GYF8C0SFYGC9Q1EYT4QFTFZC subject "Technology and Engineering".
- 01GYF8C0SFYGC9Q1EYT4QFTFZC issn "2640-3498".
- 01GYF8C0SFYGC9Q1EYT4QFTFZC presentedAt urn:uuid:382c4750-e690-4df7-82d9-ec719c2f67d1.
- 01GYF8C0SFYGC9Q1EYT4QFTFZC volume "206".
- 01GYF8C0SFYGC9Q1EYT4QFTFZC abstract "Multi-class classification methods that produce sets of probabilistic classifiers, such as ensemble learning methods, are able to model aleatoric and epistemic uncertainty. Aleatoric uncertainty is then typically quantified via the Bayes error, and epistemic uncertainty via the size of the set. In this paper, we extend the notion of calibration, which is commonly used to evaluate the validity of the aleatoric uncertainty representation of a single probabilistic classifier, to assess the validity of an epistemic uncertainty representation obtained by sets of probabilistic classifiers. Broadly speaking, we call a set of probabilistic classifiers calibrated if one can find a calibrated convex combination of these classifiers. To evaluate this notion of calibration, we propose a novel non-parametric calibration test that generalizes an existing test for single probabilistic classifiers to the case of sets of probabilistic classifiers. Making use of this test, we empirically show that ensembles of deep neural networks are often not well calibrated.".
- 01GYF8C0SFYGC9Q1EYT4QFTFZC author 2FBA5102-F0EE-11E1-A9DE-61C894A0A6B4.
- 01GYF8C0SFYGC9Q1EYT4QFTFZC author F71947FE-F0ED-11E1-A9DE-61C894A0A6B4.
- 01GYF8C0SFYGC9Q1EYT4QFTFZC author FE6D0A96-AE32-11E8-9E72-4A0A5707D3EF.
- 01GYF8C0SFYGC9Q1EYT4QFTFZC author urn:uuid:46336c58-fec1-46b5-b1aa-db4e38ac4982.
- 01GYF8C0SFYGC9Q1EYT4QFTFZC author urn:uuid:b4d83d60-4e62-41e0-96ff-8de2078ae984.
- 01GYF8C0SFYGC9Q1EYT4QFTFZC dateCreated "2023-04-20T11:56:35Z".
- 01GYF8C0SFYGC9Q1EYT4QFTFZC dateModified "2024-12-12T21:15:07Z".
- 01GYF8C0SFYGC9Q1EYT4QFTFZC name "On the calibration of probabilistic classifier sets".
- 01GYF8C0SFYGC9Q1EYT4QFTFZC pagination urn:uuid:56216e20-cb9f-4776-8655-c1ef38b18b1a.
- 01GYF8C0SFYGC9Q1EYT4QFTFZC sameAs LU-01GYF8C0SFYGC9Q1EYT4QFTFZC.
- 01GYF8C0SFYGC9Q1EYT4QFTFZC sourceOrganization urn:uuid:2d6fe036-e200-4348-a54d-3cb1a62883fd.
- 01GYF8C0SFYGC9Q1EYT4QFTFZC type P1.