Symbolic and quantitative approaches to reasoning with uncertainty : 7th European Conference, ECSQARU 2003, Aalborg, Denmark, July 2-5, 2003 : proceedings
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| Idioma: | Anglais |
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Springer
[20..].
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| Col·lecció: | Lecture notes in computer science. Lecture notes in artificial intelligence
2711 |
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| Edition sous un autre format: | • Symbolic and quantitative approaches to reasoning with uncertainty, 7th European conference, ECSQARU 2003, Aalborg, Denmark, July 2-5, 2003, proceedings, Thomas Dyhre Nielsen, Nevin Lianwen Zhang (eds.), Berlin, Springer, 2003, 1 vol. (XII-608 p.), Lecture notes in computer science, 3-540-40494-5 • Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Texte imprimé, 9783662186879 |
Taula de continguts:
- Invited Papers
- Qualitative Decision Rules under Uncertainty
- Applications of Latent Class Analysis in Social Science Research
- Foundations of Uncertainty Concepts
- Transformations from Imprecise to Precise Probabilities
- A Representation Theorem and Applications
- On Modal Probability and Belief
- Bayesian Networks
- A Multi-layered Bayesian Network Model for Structured Document Retrieval
- Using Kappas as Indicators of Strength in Qualitative Probabilistic Networks
- Qualitative Bayesian Networks with Logical Constraints
- Introducing Situational Influences in QPNs
- Classification of Aerial Missions Using Hidden Markov Models
- Algorithms for Uncertainty Inference
- Dynamic Importance Sampling Computation in Bayesian Networks
- Morphing the Hugin and Shenoy Shafer Architectures
- Learning
- Characterization of Inclusion Neighbourhood in Terms of the Essential Graph: Upper Neighbours
- Approximating Conditional MTE Distributions by Means of Mixed Trees
- Effective Dimensions of Partially Observed Polytrees
- Decision Graphs
- Applying Numerical Trees to Evaluate Asymmetric Decision Problems
- Mixed Influence Diagrams
- Decision Making Based on Sampled Disease Occurrence in Animal Herds
- Decision Network Semantics of Branching Constraint Satisfaction Problems
- Belief Functions
- Web of Trust: Applying Probabilistic Argumentation to Public-Key Cryptography
- A Comparison of Methods for Transforming Belief Function Models to Probability Models
- Fuzzy Matching and Evidential Reasoning
- Modeling Positive and Negative Pieces of Evidence in Uncertainty
- Directed Evidential Networks with Conditional Belief Functions
- Computational-Workload Based Binarization and Partition of Qualitative Markov Trees for Belief Combination
- Risk Assessment in Drinking WaterProduction Using Belief Functions
- Algebraic Structures Related to the Consensus Operator for Combining of Beliefs
- Fuzzy Sets
- Inclusion Measures in Intuitionistic Fuzzy Set Theory
- A Random Set Model for Fuzzy Labels
- On the Induction of Different Kinds of First-Order Fuzzy Rules
- Reasoning under Vagueness Expressed by Nuanced Statements
- Possibility Theory
- Partial Lattice-Valued Possibilistic Measures and Some Relations Induced by Them
- Coherent Conditional Probability as a Measure of Uncertainty of the Relevant Conditioning Events
- Decision Trees and Qualitative Possibilistic Inference: Application to the Intrusion Detection Problem
- Default Reasoning
- Multi-valued Conditional Events Avoid Lewis Triviality Result
- Solving Semantic Problems with Odd-Length Cycles in Argumentation
- On the Relation between Reiter s Default Logic and Its (Major) Variants
- Belief Revision and Inconsistency Handling
- Probable Consistency Checking for Sets of Propositional Clauses
- On Iterated Revision in the AGM Framework
- Epistemic Logics for Information Fusion
- Logics
- Propositional Fusion Rules
- Preferential Logics for Reasoning with Graded Uncertainty
- Paraconsistent Reasoning via Quantified Boolean Formulas, II: Circumscribing Inconsistent Theories
- Modal (Logic) Paraconsistency
- A Formal Framework for Handling Conflicting Desires
- A Sequent Calculus for Skeptical Reasoning in Predicate Default Logic (Extended Abstract)
- Probabilistic Lexicographic Entailment under Variable-Strength Inheritance with Overriding
- Demo Papers
- ABEL: An Interactive Tool for Probabilistic Argumentative Reasoning
- The Hugin Tool for Learning Bayesian Networks.