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ECSQARU 2005: Barcelona, Spain
- Lluís Godo:
Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 8th European Conference, ECSQARU 2005, Barcelona, Spain, July 6-8, 2005, Proceedings. Lecture Notes in Computer Science 3571, Springer 2005, ISBN 3-540-27326-3
Invited Papers
- Serafín Moral:
Imprecise Probability in Graphical Models: Achievements and Challenges. 1-2 - Jörg Gebhardt, Rudolf Kruse:
Knowledge-Based Operations for Graphical Models in Planning. 3-14 - Jérôme Lang:
Some Representation and Computational Issues in Social Choice. 15-26
Bayesian Networks
- Barry R. Cobb, Prakash P. Shenoy:
Nonlinear Deterministic Relationships in Bayesian Networks. 27-38 - Rafael Rumí, Antonio Salmerón:
Penniless Propagation with Mixtures of Truncated Exponentials. 39-50 - Irene Martínez, Serafín Moral, Carmelo Rodríguez, Antonio Salmerón:
Approximate Factorisation of Probability Trees. 51-62 - M. Julia Flores, José A. Gámez, Serafín Moral:
Abductive Inference in Bayesian Networks: Finding a Partition of the Explanation Space. 63-75 - Thomas D. Nielsen, Finn Verner Jensen:
Alert Systems for Production Plants: A Methodology Based on Conflict Analysis. 76-87 - Martín Molina, Raquel Fuentetaja, Luis Garrote:
Hydrologic Models for Emergency Decision Support Using Bayesian Networks. 88-99
Graphical Models
- Christian Borgelt, Rudolf Kruse:
Probabilistic Graphical Models for the Diagnosis of Analog Electrical Circuits. 100-110 - Zhiyuan Luo, Alex Gammerman:
Qualified Probabilistic Predictions Using Graphical Models. 111-122 - Luis M. de Campos, Juan M. Fernández-Luna, Manuel Gómez-Olmedo, Juan F. Huete:
A Decision-Based Approach for Recommending in Hierarchical Domains. 123-135
Learning Causal Networks
- José M. Peña, Johan Björkegren, Jesper Tegnér:
Scalable, Efficient and Correct Learning of Markov Boundaries Under the Faithfulness Assumption. 136-147 - Guzmán Santafé, José Antonio Lozano, Pedro Larrañaga:
Discriminative Learning of Bayesian Network Classifiers via the TM Algorithm. 148-160 - José A. Gámez, José Miguel Puerta:
Constrained Score+(Local)Search Methods for Learning Bayesian Networks. 161-173 - Luis M. de Campos, Francisco Javier García Castellano:
On the Use of Restrictions for Learning Bayesian Networks. 174-185 - Jae-Hyuck Lee:
Foundation for the New Algorithm Learning Pseudo-Independent Models. 186-197
Planning
- Arsalan Farrokh, Vikram Krishnamurthy:
Optimal Threshold Policies for Operation of a Dedicated-Platform with Imperfect State Information - A POMDP Framework. 198-208 - Stephen M. Majercik:
APPSSAT: Approximate Probabilistic Planning Using Stochastic Satisfiability. 209-220
Causality and Independence
- Remco R. Bouckaert, Milan Studený:
Racing for Conditional Independence Inference. 221-232 - Manon J. Sanscartier, Eric Neufeld:
Causality, Simpson's Paradox, and Context-Specific Independence. 233-243 - Marcel van Gerven, Peter J. F. Lucas, Theo P. van der Weide:
A Qualitative Characterisation of Causal Independence Models Using Boolean Polynomials. 244-256
Preference Modelling and Decision
- Irina Georgescu:
On the Notion of Dominance of Fuzzy Choice Functions and Its Application in Multicriteria Decision Making. 257-268 - Leila Amgoud, Jean-François Bonnefon, Henri Prade:
An Argumentation-Based Approach to Multiple Criteria Decision. 269-280 - Souhila Kaci, Leendert W. N. van der Torre:
Algorithms for a Nonmonotonic Logic of Preferences. 281-292 - Didier Dubois, Souhila Kaci, Henri Prade:
Expressing Preferences from Generic Rules and Examples - A Possibilistic Approach Without Aggregation Function. 293-304 - Didier Dubois, Hélène Fargier:
On the Qualitative Comparison of Sets of Positive and Negative Affects. 305-316
Argumentation Systems
- Sylvie Coste-Marquis, Caroline Devred, Pierre Marquis:
Symmetric Argumentation Frameworks. 317-328 - Pietro Baroni, Massimiliano Giacomin:
Evaluating Argumentation Semantics with Respect to Skepticism Adequacy. 329-340 - Helena Lindgren, Patrik Eklund:
Logic of Dementia Guidelines in a Probabilistic Argumentation Framework. 341-352 - Carlos Iván Chesñevar, Guillermo Ricardo Simari, Lluís Godo, Teresa Alsinet:
Argument-Based Expansion Operators in Possibilistic Defeasible Logic Programming: Characterization and Logical Properties. 353-365 - Claudette Cayrol, Marie-Christine Lagasquie-Schiex:
Gradual Valuation for Bipolar Argumentation Frameworks. 366-377 - Claudette Cayrol, Marie-Christine Lagasquie-Schiex:
On the Acceptability of Arguments in Bipolar Argumentation Frameworks. 378-389
Inconsistency Handling
- Laurence Cholvy:
A Modal Logic for Reasoning with Contradictory Beliefs Which Takes into Account the Number and the Reliability of the Sources. 390-401 - Pascal Nicolas, Laurent Garcia, Igor Stéphan:
A Possibilistic Inconsistency Handling in Answer Set Programming. 402-414 - Anthony Hunter, Weiru Liu:
Measuring the Quality of Uncertain Information Using Possibilistic Logic. 415-426 - Philippe Besnard:
Remedying Inconsistent Sets of Premises. 427-439 - Kedian Mu, Zhi Jin, Ruqian Lu, Weiru Liu:
Measuring Inconsistency in Requirements Specifications. 440-451
Belief Revision and Merging
- Salem Benferhat, Jonathan Ben-Naim, Robert Jeansoulin, Mahat Khelfallah, Sylvain Lagrue, Odile Papini, Nic Wilson, Éric Würbel:
Belief Revision of GIS Systems: The Results of REV!GIS. 452-464 - Guilin Qi, Weiru Liu, David A. Bell:
Multiple Semi-revision in Possibilistic Logic. 465-476 - Mahat Khelfallah, Belaid Benhamou:
A Local Fusion Method of Temporal Information. 477-488 - Thomas Andreas Meyer, Pilar Pozos Parra, Laurent Perrussel:
Mediation Using m-States. 489-500 - Guilin Qi, Weiru Liu, David A. Bell:
Combining Multiple Knowledge Bases by Negotiation: A Possibilistic Approach. 501-513 - Olivier Gauwin, Sébastien Konieczny, Pierre Marquis:
Conciliation and Consensus in Iterated Belief Merging. 514-526 - Leila Amgoud, Souhila Kaci:
An Argumentation Framework for Merging Conflicting Knowledge Bases: The Prioritized Case. 527-538
Belief Functions
- Milan Daniel:
Probabilistic Transformations of Belief Functions. 539-551 - David Mercier, Benjamin Quost, Thierry Denoeux:
Contextual Discounting of Belief Functions. 552-562
Fuzzy Models
- Ofer Arieli, Chris Cornelis, Glad Deschrijver, Etienne E. Kerre:
Bilattice-Based Squares and Triangles. 563-575 - Luis Garmendia, Adela Salvador:
A New Algorithm to Compute Low T-Transitive Approximation of a Fuzzy Relation Preserving Symmetry. Comparisons with the T-Transitive Closure. 576-586 - Luis Garmendia, Adela Salvador:
Computing a Transitive Opening of a Reflexive and Symmetric Fuzzy Relation. 587-599 - Raffaella Guglielmann, Liliana Ironi:
Generating Fuzzy Models from Deep Knowledge: Robustness and Interpretability Issues. 600-612 - Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Mohammed Awad, Olga Valenzuela:
Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation. 613-624
Many-Valued Logical Systems
- Arnon Avron:
Non-deterministic Semantics for Paraconsistent C-Systems. 625-637 - Ana Fernández Vilas, José Juan Pazos-Arias, Ana Belén Barragáns-Martínez, Martín López Nores, Rebeca P. Díaz Redondo, Alberto Gil-Solla, Jorge García Duque, Manuel Ramos Cabrer:
Multi-valued Model Checking in Dense-Time. 638-649 - Stefano Aguzzoli, Ottavio M. D'Antona, Vincenzo Marra:
Brun Normal Forms for Co-atomic Lukasiewicz Logics. 650-661 - Stefano Aguzzoli, Brunella Gerla, Corrado Manara:
Poset Representation for Gödel and Nilpotent Minimum Logics. 662-674
Uncertainty Logics
- Mathieu Serrurier, Henri Prade:
Possibilistic Inductive Logic Programming. 675-686 - Umberto Straccia:
Query Answering in Normal Logic Programs Under Uncertainty. 687-700 - Enrico Marchioni:
A Logical Treatment of Possibilistic Conditioning. 701-713 - Tommaso Flaminio:
A Zero-Layer Based Fuzzy Probabilistic Logic for Conditional Probability. 714-725 - Nebojsa Ikodinovic, Zoran Ognjanovic:
A Logic with Coherent Conditional Probabilities. 726-736 - Thomas Lukasiewicz:
Probabilistic Description Logic Programs. 737-749
Probabilistic Reasoning
- Andrea Capotorti, Maroussa Zagoraiou:
Coherent Restrictions of Vague Conditional Lower-Upper Probability Extensions. 750-762 - David Poole, Clinton Smyth:
Type Uncertainty in Ontologically-Grounded Qualitative Probabilistic Matching. 763-774 - Veronica Biazzo, Angelo Gilio:
Some Theoretical Properties of Conditional Probability Assessments. 775-787 - Rolf Haenni:
Unifying Logical and Probabilistic Reasoning. 788-799
Reasoning Models Under Uncertainty
- Maria Silvia Pini, Francesca Rossi, Kristen Brent Venable:
Possibility Theory for Reasoning About Uncertain Soft Constraints. 800-811 - Patrick Bosc, Olivier Pivert:
About the Processing of Possibilistic and Probabilistic Queries. 812-823 - Audun Jøsang, Simon Pope, Milan Daniel:
Conditional Deduction Under Uncertainty. 824-835 - Haibin Sun, Wenhui Li:
Heterogeneous Spatial Reasoning. 836-847
Uncertainty Measures
- Didier Dubois, Eyke Hüllermeier:
A Notion of Comparative Probabilistic Entropy Based on the Possibilistic Specificity Ordering. 848-859 - Enrique Miranda:
Consonant Random Sets: Structure and Properties. 860-871 - Giulianella Coletti, Barbara Vantaggi:
Comparative Conditional Possibilities. 872-883 - Ivan Kramosil:
Second-Level Possibilistic Measures Induced by Random Variables. 884-895
Probabilistic Classifiers
- Zengchang Qin, Jonathan Lawry:
Hybrid Bayesian Estimation Trees Based on Label Semantics. 896-907 - Andrés Cano, Francisco Javier García Castellano, Andrés R. Masegosa, Serafín Moral:
Selective Gaussian Naïve Bayes Model for Diffuse Large-B-Cell Lymphoma Classification: Some Improvements in Preprocessing and Variable Elimination. 908-920 - Nahla Ben Amor, Salem Benferhat, Zied Elouedi:
Towards a Definition of Evaluation Criteria for Probabilistic Classifiers. 921-931 - Andrés Cano, Francisco Javier García Castellano, Andrés R. Masegosa, Serafín Moral:
Methods to Determine the Branching Attribute in Bayesian Multinets Classifiers. 932-943
Classification and Clustering
- Ilyes Jenhani, Zied Elouedi, Nahla Ben Amor, Khaled Mellouli:
Qualitative Inference in Possibilistic Option Decision Trees. 944-955 - Patrick Vannoorenberghe, Philippe Smets:
Partially Supervised Learning by a Credal EM Approach. 956-967 - Julien Velcin, Jean-Gabriel Ganascia:
Default Clustering from Sparse Data Sets. 968-979 - Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Jesús González:
New Technique for Initialization of Centres in TSK Clustering-Based Fuzzy Systems. 980-991
Industrial Applications
- Frank Rehm, Frank Klawonn:
Learning Methods for Air Traffic Management. 992-1001 - Christian Borgelt, Michael R. Berthold, David E. Patterson:
Molecular Fragment Mining for Drug Discovery. 1002-1013 - Detlef D. Nauck, Martin Spott, Behnam Azvine:
Automatic Selection of Data Analysis Methods. 1014-1025
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