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ORCIDECSQARU 2015: Compiègne, France
- Sébastien Destercke, Thierry Denoeux:
Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 13th European Conference, ECSQARU 2015, Compiègne, France, July 15-17, 2015. Proceedings. Lecture Notes in Computer Science 9161, Springer 2015, ISBN 978-3-319-20806-0
Decision Theory and Preferences
- Joseph Y. Halpern, Samantha Leung:
Minimizing Regret in Dynamic Decision Problems. 3-13 - Didier Dubois, Claude Durrieu, Henri Prade, Agnès Rico, Yannis Ferro:
Extracting Decision Rules from Qualitative Data Using Sugeno Integral: A Case-Study. 14-24 - Christophe Labreuche, Sébastien Destercke
, Brice Mayag:
Elicitation of a Utility from Uncertainty Equivalent Without Standard Gambles. 25-35 - Nahla Ben Amor, Didier Dubois, Héla Gouider, Henri Prade:
Possibilistic Conditional Preference Networks. 36-46
Argumentation
- Sébastien Konieczny, Pierre Marquis, Srdjan Vesic:
On Supported Inference and Extension Selection in Abstract Argumentation Frameworks. 49-59 - Leila Amgoud, Philippe Besnard, Anthony Hunter:
Representing and Reasoning About Arguments Mined from Texts and Dialogues. 60-71 - Farid Nouioua, Sara Boutouhami:
Dialogue Games for Argumentation Frameworks with Necessities. 72-82 - Sjoerd T. Timmer, John-Jules Ch. Meyer, Henry Prakken, Silja Renooij, Bart Verheij:
Explaining Bayesian Networks Using Argumentation. 83-92
Conditionals
- Angelo Gilio, Niki Pfeifer, Giuseppe Sanfilippo:
Transitive Reasoning with Imprecise Probabilities. 95-105 - Tommaso Flaminio, Lluís Godo, Hykel Hosni:
On the Algebraic Structure of Conditional Events. 106-116 - Costas D. Koutras, Christos Rantsoudis:
In All, but Finitely Many, Possible Worlds: Model-Theoretic Investigations on 'Overwhelming Majority' Default Conditionals. 117-126
Game Theory
- Jorge Castro, Joaquim Gabarró, Maria J. Serna, Alan Stewart:
The Robustness of Periodic Orchestrations in Uncertain Evolving Environments. 129-140 - Alan Stewart, Joaquim Gabarró, Anthony Keenan:
Uncertainty in the Cloud: An Angel-Daemon Approach to Modelling Performance. 141-150 - Wenjun Ma, Weiru Liu, Kevin McAreavey:
Game-Theoretic Resource Allocation with Real-Time Probabilistic Surveillance Information. 151-161
Belief Update
- Nadia Creignou, Raïda Ktari, Odile Papini:
Belief Update Within Propositional Fragments. 165-174 - Thomas Caridroit, Sébastien Konieczny, Tiago de Lima, Pierre Marquis:
Private Expansion and Revision in Multi-agent Settings. 175-185 - Thomas Caridroit, Sébastien Konieczny, Pierre Marquis:
Contraction in Propositional Logic. 186-196
Classification
- Arnoud Pastink, Linda C. van der Gaag:
Multi-classifiers of Small Treewidth. 199-209 - Janneke H. Bolt, Linda C. van der Gaag:
Balanced Tuning of Multi-dimensional Bayesian Network Classifiers. 210-220 - Myriam Bounhas, Henri Prade, Gilles Richard:
A New View of Conformity and Its Application to Classification. 221-232
Inconsistency
- John Grant, Anthony Hunter:
Using Shapley Inconsistency Values for Distributed Information Systems with Uncertainty. 235-245 - Laurence Cholvy, Laurent Perrussel, William Raynaut, Jean-Marc Thévenin:
Consistency-Based Reliability Assessment. 246-256 - Fabian Schmidt, Jörg Gebhardt, Rudolf Kruse:
Handling Revision Inconsistencies: Towards Better Explanations. 257-266 - Meriem Ammoura, Badran Raddaoui, Yakoub Salhi, Brahim Oukacha:
On Measuring Inconsistency Using Maximal Consistent Sets. 267-276
Graphical Models
- Salem Benferhat, Amélie Levray, Karim Tabia:
On the Analysis of Probability-Possibility Transformations: Changing Operations and Graphical Models. 279-289 - Stavros Lopatatzidis, Linda C. van der Gaag:
Computing Concise Representations of Semi-graphoid Independency Models. 290-300 - Narjes Ben Hariz, Boutheina Ben Yaghlane:
Learning Structure in Evidential Networks from Evidential DataBases. 301-311 - Maroua Haddad, Philippe Leray, Nahla Ben Amor:
Evaluating Product-Based Possibilistic Networks Learning Algorithms. 312-321
Bayesian Networks
- José M. Peña:
Every LWF and AMP Chain Graph Originates from a Set of Causal Models. 325-334 - José M. Peña:
Factorization, Inference and Parameter Learning in Discrete AMP Chain Graphs. 335-345 - Christiane Görgen, Manuele Leonelli, James Q. Smith:
A Differential Approach for Staged Trees. 346-355 - Gérard Ramstein, Philippe Leray:
CPD Tree Learning Using Contexts as Background Knowledge. 356-365 - Michelle Meekes, Silja Renooij, Linda C. van der Gaag:
Relevance of Evidence in Bayesian Networks. 366-375 - Manxia Liu, Arjen Hommersom, Maarten van der Heijden, Peter J. F. Lucas:
Hybrid Time Bayesian Networks. 376-386 - Siqi Nie, Cassio P. de Campos, Qiang Ji:
Learning Bounded Tree-Width Bayesian Networks via Sampling. 387-396 - Inmaculada Pérez-Bernabé, Antonio Salmerón, Helge Langseth:
Learning Conditional Distributions Using Mixtures of Truncated Basis Functions. 397-406 - Antonio Salmerón, Rafael Rumí, Helge Langseth, Anders L. Madsen, Thomas D. Nielsen:
MPE Inference in Conditional Linear Gaussian Networks. 407-416
Belief Functions
- Siwar Jendoubi, Arnaud Martin, Ludovic Liétard, Boutheina Ben Yaghlane, Hend Ben Hadji:
Dynamic Time Warping Distance for Message Propagation Classification in Twitter. 419-428 - Van-Doan Nguyen, Van-Nam Huynh:
A Reliably Weighted Collaborative Filtering System. 429-439 - Milan Daniel:
A Comparison of Plausibility Conflict and of Degree of Conflict Based on Amount of Uncertainty of Belief Functions. 440-450 - Pablo Juesas Cano, Emmanuel Ramasso:
Weighted Maximum Likelihood for Parameters Learning Based on Noisy Labels in Discrete Hidden Markov Models. 451-460 - Lianmeng Jiao, Thierry Denoeux, Quan Pan:
Evidential Editing K-Nearest Neighbor Classifier. 461-471 - David Mercier, Frédéric Pichon, Eric Lefevre, François Delmotte:
Learning Contextual Discounting and Contextual Reinforcement from Labelled Data. 472-481
Logic
- Claudette Cayrol, Didier Dubois, Fayçal Touazi:
Symbolic Possibilistic Logic: Completeness and Inference Methods. 485-495 - Sinisa Tomovic, Zoran Ognjanovic, Dragan Doder:
Probabilistic Common Knowledge Among Infinite Number of Agents. 496-505 - Christoph Beierle, Nico Potyka, Josef Baudisch, Marc Finthammer:
Towards Lifted Inference Under Maximum Entropy for Probabilistic Relational FO-PCL Knowledge Bases. 506-516
Probabilistic Graphical Models for Scalable Data Analytics
- Irene Córdoba-Sánchez, Concha Bielza, Pedro Larrañaga:
Towards Gaussian Bayesian Network Fusion. 519-528 - Galia Weidl, Anders L. Madsen, Viacheslav Tereshchenko, Dietmar Kasper, Gabi Breuel:
Early Recognition of Maneuvers in Highway Traffic. 529-540 - Rafael Cabañas, Alessandro Antonucci, Andrés Cano, Manuel Gómez-Olmedo:
Variable Elimination for Interval-Valued Influence Diagrams. 541-551
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