Symbolic and Quantitative Approaches to Reasoning with Uncertainty
9th European Conference, ECSQARU 2007, Hammamet, Tunisia, October 31 - November 2, 2007, Proceedings
Herausgegeben: Mellouli, Khaled
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Invited Talks.- Pattern Recognition and Information Fusion Using Belief Functions: Some Recent Developments.- Causality and Dynamics of Beliefs in Qualitative Uncertainty Frameworks.- Elements of Argumentation.- Causal Networks.- Causal Graphical Models with Latent Variables: Learning and Inference.- Learning Causal Bayesian Networks from Incomplete Observational Data and Interventions.- Belief Revision and Inconsistency Handling.- Measuring Inconsistency for Description Logics Based on Paraconsistent Semantics.- On the Dynamics of Total Preorders: Revising Abstract Interval Orders.- Approache...
Invited Talks.- Pattern Recognition and Information Fusion Using Belief Functions: Some Recent Developments.- Causality and Dynamics of Beliefs in Qualitative Uncertainty Frameworks.- Elements of Argumentation.- Causal Networks.- Causal Graphical Models with Latent Variables: Learning and Inference.- Learning Causal Bayesian Networks from Incomplete Observational Data and Interventions.- Belief Revision and Inconsistency Handling.- Measuring Inconsistency for Description Logics Based on Paraconsistent Semantics.- On the Dynamics of Total Preorders: Revising Abstract Interval Orders.- Approaches to Constructing a Stratified Merged Knowledge Base.- Syntactic Propositional Belief Bases Fusion with Removed Sets.- COBA 2.0: A Consistency-Based Belief Change System.- An Algorithm for Computing Inconsistency Measurement by Paraconsistent Semantics.- How Dirty Is Your Relational Database? An Axiomatic Approach.- Logics Under Uncertainty.- A Top-Down Query Answering Procedure for Normal Logic Programs Under the Any-World Assumption.- Measure Logic.- Weak Implication in Terms of Conditional Uncertainty Measures.- Language Invariance and Spectrum Exchangeability in Inductive Logic.- Best Approximation of Ruspini Partitions in Gödel Logic.- A Logical Approach to Qualitative and Quantitative Reasoning.- Description Logic Programs Under Probabilistic Uncertainty and Fuzzy Vagueness.- From DEL to EDL: Exploring the Power of Converse Events.- Argumentation Systems.- Comparing Argumentation Semantics with Respect to Skepticism.- An Algorithm for Computing Semi-stable Semantics.- The Logical Handling of Threats, Rewards, Tips, and Warnings.- On the Acceptability of Incompatible Arguments.- Handling Ignorance in Argumentation: Semantics of Partial Argumentation Frameworks.- DialecticalProof Theories for the Credulous Prudent Preferred Semantics of Argumentation.- Towards an Extensible Argumentation System.- Dialectical Explanations in Defeasible Argumentation.- Arguing over Actions That Involve Multiple Criteria: A Critical Review.- Belief Functions.- Shared Ordered Binary Decision Diagrams for Dempster-Shafer Theory.- Cautious Conjunctive Merging of Belief Functions.- Consonant Belief Function Induced by a Confidence Set of Pignistic Probabilities.- On the Orthogonal Projection of a Belief Function.- On Latent Belief Structures.- The DSm Approach as a Special Case of the Dempster-Shafer Theory.- Interpreting Belief Functions as Dirichlet Distributions.- Forward-Backward-Viterbi Procedures in the Transferable Belief Model for State Sequence Analysis Using Belief Functions.- Uncertainty in Semantic Ontology Mapping: An Evidential Approach.- Learning and Classification.- Measures of Ruleset Quality Capable to Represent Uncertain Validity.- A Discriminative Learning Method of TAN Classifier.- Discriminative vs. Generative Learning of Bayesian Network Classifiers.- PADUA Protocol: Strategies and Tactics.- A Semi-naive Bayes Classifier with Grouping of Cases.- Split Criterions for Variable Selection Using Decision Trees.- Inference and Learning in Multi-dimensional Bayesian Network Classifiers.- Combining Decision Trees Based on Imprecise Probabilities and Uncertainty Measures.- Belief Classification Approach Based on Generalized Credal EM.- Bayesian Networks and Probabilistic Reasoning.- Logical Compilation of Bayesian Networks with Discrete Variables.- Local Monotonicity in Probabilistic Networks.- Independence Decomposition in Dynamic Bayesian Networks.- Average and Majority Gates: Combining Information by Means of Bayesian Networks.- A Fast Hill-Climbing Algorithm for Bayesian Networks Structure Learning.- On Directed and Undirected Propagation Algorithms for Bayesian Networks.- Reasoning About Preferences.- Lexicographic Refinements of Sugeno Integrals.- Algebraic Structures for Bipolar Constraint-Based Reasoning.- A Revised Qualitative Choice Logic for Handling Prioritized Preferences.- An Abstract Theory of Argumentation That Accommodates Def
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