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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 7

Buchbeitrag

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Destercke, Sébastien und Couso, Ines (2019): Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants. In: Ben Amor, Nahla; Quost, Benjamin und Theobald, Martin (Hrsg.): Scalable Uncertainty Management. Lecture Notes in Computer Science, Bd. 11940. Cham: Springer. S. 266-279

Nguyen, Vu-Linh; Destercke, Sébastien und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2019): Epistemic Uncertainty Sampling. In: Kralj Novak, Petra; Šmuc, Tomislav und Džeroski, Sašo (Hrsg.): Discovery Science. 22nd International Conference, DS 2019, Split, Croatia, October 28–30, 2019, Proceedings. Lecture Notes in Computer Science, Bd. 11828. S. 72-86

Konferenzbeitrag

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Destercke, Sébastien und Shaker, Mohammad Hossein (August 2022): Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison. 38th Conference on Uncertainty in Artificial Intelligence, Eindhoven, Netherlands, 1-5 August 2022. Cussens, James und Zhang, Kun (Hrsg.): In: Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, Bd. 180 PMLR. S. 548-557

Nguyen, Vu-Linh; Destercke, Sébastien; Masson, Marie-Hélène und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2018): Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty. Twenty-Seventh International Joint Conference on Artificial Intelligence, Stockholm, Sweden, 13-19 July 2018. Lang, Jérôme (Hrsg.): In: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, Menlo Park, County of San Mateo, California: S. 5089-5095

Fink, Paul und Augustin, Thomas (2017): (Generalized) Linear Regression on Microaggregated Data. From Nuisance Parameter Optimization to Partial Identification. Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, Lugano, Switzerland, 10 - 14 July 2017. Antonucci, Alessandro; Corani, Giorgio; Couso, Inés und Destercke, Sébastien (Hrsg.): Bd. 62 PMLR. S. 157-168

Augustin, Thomas und Seising, Rudolf (2017): Kurt Weichselberger's Contribution to Imprecise Probabilities. Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, Lugano, Switzerland, 10 - 14 July 2017. Antonucci, Alessandro; Corani, Giorgio; Couso, Inés und Destercke, Sébastien (Hrsg.): Bd. 62 PMLR. S. 13-24

Jansen, Christoph; Schollmeyer, Georg und Augustin, Thomas (2017): Concepts for Decision Making under Severe Uncertainty with Partial Ordinal and Partial Cardinal Preferences. Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, Lugano, Switzerland, 10. - 14. Juli 2017. Antonucci, Alessandro; Corani, Giorgio; Couso, Inés und Destercke, Sébastien (Hrsg.): Proceedings of Machine Learning Research. Bd. 62 PMLR. S. 181-192

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