Scalable Uncertainty Management: 13th International Conference, SUM 2019, Compiègne, France, December 16–18, 2019, Proceedings

Description

This book constitutes the refereed proceedings of the 13th International Conference on Scalable Uncertainty Management, SUM 2019, which was held in Compiègne, France, in December 2019. The 25 full, 4 short, 4 tutorial, 2 invited keynote papers presented in this volume were carefully reviewed and selected from 44 submissions. The conference is dedicated to the management of large amounts of complex, uncertain, incomplete, or inconsistent information. New approaches have been developed on imprecise probabilities, fuzzy set theory, rough set theory, ordinal uncertainty representations, or even purely qualitative models. Front Matter ....Pages i-xi An Experimental Study on the Behaviour of Inconsistency Measures (Matthias Thimm)....Pages 1-8 Inconsistency Measurement (Matthias Thimm)....Pages 9-23 Using Graph Convolutional Networks for Approximate Reasoning with Abstract Argumentation Frameworks: A Feasibility Study (Isabelle Kuhlmann, Matthias Thimm)....Pages 24-37 The Hidden Elegance of Causal Interaction Models (Silja Renooij, Linda C. van der Gaag)....Pages 38-51 Computational Models for Cumulative Prospect Theory: Application to the Knapsack Problem Under Risk (Hugo Martin, Patrice Perny)....Pages 52-65 On a New Evidential C-Means Algorithm with Instance-Level Constraints (Jiarui Xie, Violaine Antoine)....Pages 66-78 Hybrid Reasoning on a Bipolar Argumentation Framework (Tatsuki Kawasaki, Sosuke Moriguchi, Kazuko Takahashi)....Pages 79-92 Active Preference Elicitation by Bayesian Updating on Optimality Polyhedra (Nadjet Bourdache, Patrice Perny, Olivier Spanjaard)....Pages 93-106 Selecting Relevant Association Rules From Imperfect Data (Cécile L’Héritier, Sébastien Harispe, Abdelhak Imoussaten, Gilles Dusserre, Benoît Roig)....Pages 107-121 Evidential Classification of Incomplete Data via Imprecise Relabelling: Application to Plastic Sorting (Lucie Jacquin, Abdelhak Imoussaten, François Trousset, Jacky Montmain, Didier Perrin)....Pages 122-135 An Analogical Interpolation Method for Enlarging a Training Dataset (Myriam Bounhas, Henri Prade)....Pages 136-152 Towards a Reconciliation Between Reasoning and Learning - A Position Paper (Didier Dubois, Henri Prade)....Pages 153-168 CP-Nets, \(\pi \)-pref Nets, and Pareto Dominance (Nic Wilson, Didier Dubois, Henri Prade)....Pages 169-183 Measuring Inconsistency Through Subformula Forgetting (Yakoub Salhi)....Pages 184-191 Explaining Hierarchical Multi-linear Models (Christophe Labreuche)....Pages 192-206 Assertional Removed Sets Merging of DL-Lite Knowledge Bases (Salem Benferhat, Zied Bouraoui, Odile Papini, Eric Würbel)....Pages 207-220 An Interactive Polyhedral Approach for Multi-objective Combinatorial Optimization with Incomplete Preference Information (Nawal Benabbou, Thibaut Lust)....Pages 221-235 Open-Mindedness of Gradual Argumentation Semantics (Nico Potyka)....Pages 236-249 Approximate Querying on Property Graphs (Stefania Dumbrava, Angela Bonifati, Amaia Nazabal Ruiz Diaz, Romain Vuillemot)....Pages 250-265 Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants (Eyke Hüllermeier, Sébastien Destercke, Ines Couso)....Pages 266-279 On Cautiousness and Expressiveness in Interval-Valued Logic (Sébastien Destercke, Sylvain Lagrue)....Pages 280-288 Preference Elicitation with Uncertainty: Extending Regret Based Methods with Belief Functions (Pierre-Louis Guillot, Sebastien Destercke)....Pages 289-309 Evidence Propagation and Consensus Formation in Noisy Environments (Michael Crosscombe, Jonathan Lawry, Palina Bartashevich)....Pages 310-323 Order-Independent Structure Learning of Multivariate Regression Chain Graphs (Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi)....Pages 324-338 Comparison of Analogy-Based Methods for Predicting Preferences (Myriam Bounhas, Marc Pirlot, Henri Prade, Olivier Sobrie)....Pages 339-354 Using Convolutional Neural Network in Cross-Domain Argumentation Mining Framework (Rihab Bouslama, Raouia Ayachi, Nahla Ben Amor)....Pages 355-367 ConvNet and Dempster-Shafer Theory for Object Recognition (Zheng Tong, Philippe Xu, Thierry Denœux)....Pages 368-381 On Learning Evidential Contextual Corrections from Soft Labels Using a Measure of Discrepancy Between Contour Functions (Siti Mutmainah, Samir Hachour, Frédéric Pichon, David Mercier)....Pages 382-389 Efficient Möbius Transformations and Their Applications to D-S Theory (Maxime Chaveroche, Franck Davoine, Véronique Cherfaoui)....Pages 390-403 Dealing with Continuous Variables in Graphical Models (Christophe Gonzales)....Pages 404-408 Towards Scalable and Robust Sum-Product Networks (Alvaro H. C. Correia, Cassio P. de Campos)....Pages 409-422 Learning Models over Relational Data: A Brief Tutorial (Maximilian Schleich, Dan Olteanu, Mahmoud Abo-Khamis, Hung Q. Ngo, XuanLong Nguyen)....Pages 423-432 Subspace Clustering and Some Soft Variants (Marie-Jeanne Lesot)....Pages 433-443 Back Matter ....Pages 445-452