Score-Based Explanations in Data Management and Machine Learning (English)
- New search for: Bertossi, Leopoldo
- New search for: Bertossi, Leopoldo
In:
Scalable uncertainty management
; 17-34
;
2020
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ISBN:
- Conference paper / Print
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Title:Score-Based Explanations in Data Management and Machine Learning
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Contributors:Bertossi, Leopoldo ( author )
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Conference:SUM ; 14. ; 2020 ; Online
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Published in:Scalable uncertainty management ; 17-34
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Publisher:
- New search for: Springer
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Place of publication:Cham
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Publication date:2020
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ISBN:
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Type of media:Conference paper
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Type of material:Print
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Language:English
- New search for: 54.72
- Further information on Basic classification
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Keywords:
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Classification:
BKL: 54.72 Künstliche Intelligenz -
Source:
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 3
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Symbolic Logic Meets Machine Learning: A Brief Survey in Infinite DomainsBelle, Vaishak et al. | 2020
- 17
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Score-Based Explanations in Data Management and Machine LearningBertossi, Leopoldo et al. | 2020
- 35
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From Possibilistic Rule-Based Systems to Machine Learning - A Discussion PaperDubois, Didier / Prade, Henri et al. | 2020
- 52
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Logic, Probability and Action: A Situation Calculus PerspectiveBelle, Vaishak et al. | 2020
- 68
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When Nominal Analogical Proportions Do Not FailCouceiro, Miguel / Lehtonen, Erkko / Miclet, Laurent / Prade, Henri / Richard, Gilles et al. | 2020
- 84
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Measuring Disagreement with InterpolantsRibeiro, Jandson S. / Sofronie-Stokkermans, Viorica / Thimm, Matthias et al. | 2020
- 98
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Inferring from an Imprecise Plackett-Luce Model: Application to Label Ranking.Adam, Loic / Camp, Arthur Van / Destercke, Sébastien / Quost, Benjamin et al. | 2020
- 113
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Inference with Choice Functions Made PracticalDecadt, Arne / Bock, Jasper De / Cooman, Gert de et al. | 2020
- 128
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A Formal Learning Theory for Three-Way ClusteringCampagner, Andrea / Ciucci, Davide et al. | 2020
- 141
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Belief Functions for Safety Arguments Confidence Estimation: A Comparative StudyIdmessaoud, Yassir / Dubois, Didier / Guiochet, Jérémie et al. | 2020
- 156
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Incremental Elicitation of Capacities for the Sugeno Integral with a Maximin ApprouchRico, Agnès / Viappiani, Paolo et al. | 2020
- 172
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Computable Randomness Is About More Than ProbabilitiesPersiau, Floris / Bock, Jasper De / Cooman, Gert de et al. | 2020
- 187
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Equity in Learning Problems: An OWA ApproachOrtholand, Juliette / Destercke, Sébastien / Belahcene, Khaled et al. | 2020
- 200
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Conversational Recommender System by Bayesian MethodsMangili, Francesca / Broggini, Denis / Antonucci, Alessandro et al. | 2020
- 217
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Dealing with Atypical Instances in Evidential Decision-MakingQuost, Benjamin / Masson, Marie-Hélène / Destercke, Sébastien et al. | 2020
- 226
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Evidence Theory Based Combination of Frequent Chronicles for Failure PredictionChrayet, Achraf Ben / Samet, Ahmed / Tobji, Mohamed Anis Bach et al. | 2020
- 234
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Rule-Based Classification for Evidential DataBahri, Nassim / Tobji, Mohamed Anis Bach / Yaghlane, Boutheina Ben et al. | 2020
- 242
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Undecided Voters as Set-Valued Information — Towards Forecasts Under Epistemic ImprecisionKreiss, Dominik / Augustin, Thomas et al. | 2020
- 251
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Multi-dimensional Stable Matching Problems in Abstract ArgumentationSantini, Francesco et al. | 2020
- 261
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Modal Interpretation of Formal Concept Analysis for Incomplete RepresentationsSadou, Mohammed / Djouadi, Yassine / Hadj-Ali, Allel et al. | 2020
- 270
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A Symbolic Approach for Counterfactual ExplanationsBoumazouza, Ryma / Cheikh-Alili, Fahima / Mazure, Bertrand / Tabia, Karim et al. | 2020
- 281
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Modelling Multivariate Ranking Functions with Min-Sum NetworksShao, Xiaoting / Yu, Zhongjie / Skryagin, Arseny / Rienstra, Tjitze / Thimm, Matthias / Kersting, Kristian et al. | 2020
- 289
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An Algorithm for the Contension Inconsistency Measure Using Reductions to Answer Set ProgrammingKuhlmann, Isabelle / Thimm, Matthias et al. | 2020