Symbolic and Quantitative Approaches to Reasoning with Uncertainty 10th European Conference, ECSQARU 2009, Verona, Italy, July 1-3, 2009. Proceedings /

This book constitutes the refereed proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2009, held in Verona, Italy, July 1-3, 2009. There are 76 revised full papers presented together with 3 invited lectures by three outstanding...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Sossai, Claudio (Επιμελητής έκδοσης), Chemello, Gaetano (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Σειρά:Lecture Notes in Computer Science, 5590
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Invited Talks
  • Fuzzy and Bipolar Mathematical Morphology, Applications in Spatial Reasoning
  • From (Deductive) Fuzzy Logic to (Logic-Based) Fuzzy Mathematics
  • Conditionals and Independence in Many-Valued Logics
  • Algorithms for Uncertain Inference
  • Inference from Multinomial Data Based on a MLE-Dominance Criterion
  • Local Computation Schemes with Partially Ordered Preferences
  • Inference in Hybrid Bayesian Networks with Deterministic Variables
  • Argumentation Systems
  • Extracting the Core of a Persuasion Dialog to Evaluate Its Quality
  • On Revising Argumentation-Based Decision Systems
  • Encompassing Attacks to Attacks in Abstract Argumentation Frameworks
  • Social Argument Justification: Some Mechanisms and Conditions for Their Coincidence
  • Dynamics in Argumentation with Single Extensions: Abstraction Principles and the Grounded Extension
  • An Algorithm for Generating Arguments in Classical Predicate Logic
  • Modelling Argument Accrual in Possibilistic Defeasible Logic Programming
  • Generalized Abstract Argumentation: Handling Arguments in FOL Fragments
  • Bayesian Networks
  • Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks
  • Integrating Ontological Knowledge for Iterative Causal Discovery and Visualization
  • Binary Probability Trees for Bayesian Networks Inference
  • Marginals of DAG-Isomorphic Independence Models
  • The Probabilistic Interpretation of Model-Based Diagnosis
  • Simplifying Learning in Non-repetitive Dynamic Bayesian Networks
  • Surprise-Based Qualitative Probabilistic Networks
  • Maximum Likelihood Learning of Conditional MTE Distributions
  • Belief Functions
  • A Generalization of the Pignistic Transform for Partial Bet
  • Using Logic to Understand Relations between DSmT and Dempster-Shafer Theory
  • Complexes of Outer Consonant Approximations
  • The Intersection Probability and Its Properties
  • Can the Minimum Rule of Possibility Theory Be Extended to Belief Functions?
  • Capacity Refinements and Their Application to Qualitative Decision Evaluation
  • Belief Functions and Cluster Ensembles
  • Upper Probabilities Attainable by Distributions of Measurable Selections
  • Belief Revision and Inconsistency Handling
  • Merging Qualitative Constraints Networks Using Propositional Logic
  • Distance-Based Semantics for C-Structure Belief Revision
  • Merging Belief Bases Represented by Logic Programs
  • Knowledge Base Stratification and Merging Based on Degree of Support
  • Using Transfinite Ordinal Conditional Functions
  • The Non-archimedean Polynomials and Merging of Stratified Knowledge Bases
  • Encoding the Revision of Partially Preordered Information in Answer Set Programming
  • A Distance-Based Operator to Revising Ontologies in DL
  • Classification and Clustering
  • An Experimental Study about Simple Decision Trees for Bagging Ensemble on Datasets with Classification Noise
  • Incremental Maintenance of Frequent Itemsets in Evidential Databases
  • A Bayesian Random Split to Build Ensembles of Classification Trees
  • HODE: Hidden One-Dependence Estimator
  • On the Effectiveness of Diversity When Training Multiple Classifier Systems
  • On the Use of Clustering in Possibilistic Decision Tree Induction
  • When in Doubt ... Be Indecisive
  • Conditioning, Independence, Inference
  • Acyclic Directed Graphs to Represent Conditional Independence Models
  • Towards a Conscious Choice of a Similarity Measure: A Qualitative Point of View
  • Integrated Likelihood in a Finitely Additive Setting
  • Triangulation Heuristics for BN2O Networks
  • Default Reasoning
  • A Default Logic Patch for Default Logic
  • A Note on Cumulative Stereotypical Reasoning
  • Realizing Default Logic over Description Logic Knowledge Bases
  • Dealing Automatically with Exceptions by Introducing Specificity in ASP
  • Foundations of Reasoning and Decision Making under Uncertainty
  • Generalised Label Semantics as a Model of Epistemic Vagueness
  • Handling Analogical Proportions in Classical Logic and Fuzzy Logics Settings
  • Qualitative Possibilities and Necessities
  • Probabilistic Reasoning by SAT Solvers
  • Fuzzy Sets and Fuzzy Logic
  • Supporting Fuzzy Rough Sets in Fuzzy Description Logics
  • Possibilistic Measures Taking Their Values in Spaces Given by Inclusion-Closed Fragments of Power-Sets
  • Different Representations of Fuzzy Vectors
  • Elicitating Sugeno Integrals: Methodology and a Case Study
  • Implementation and Applications of Uncertain Systems
  • Robust Gene Selection from Microarray Data with a Novel Markov Boundary Learning Method: Application to Diabetes Analysis
  • Brain Tumor Segmentation Using Support Vector Machines
  • Ensemble Learning for Multi-source Information Fusion
  • Bayesian Belief Network for Tsunami Warning Decision Support
  • Anti-division Queries with Ordinal Layered Preferences
  • Predicting Stock and Portfolio Returns Using Mixtures of Truncated Exponentials
  • Logics for Reasoning under Uncertainty
  • Non-deterministic Distance Semantics for Handling Incomplete and Inconsistent Data
  • A Simple Modal Logic for Reasoning about Revealed Beliefs
  • Complexity and Cautiousness Results for Reasoning from Partially Preordered Belief Bases
  • A Logic for Complete Information Systems
  • Markov Decision Processes
  • An Uncertainty-Based Belief Selection Method for POMDP Value Iteration
  • Optimal Threshold Policies for Multivariate Stopping-Time POMDPs
  • An Evidential Measure of Risk in Evidential Markov Chains
  • Mathematical Fuzzy Logic
  • Algebras of Fuzzy Sets in Logics Based on Continuous Triangular Norms
  • Soft Constraints Processing over Divisible Residuated Lattices
  • On the Convergence with Fixed Regulator in Residuated Structures
  • Open Partitions and Probability Assignments in Gödel Logic
  • Exploring Extensions of Possibilistic Logic over Gödel Logic.