Scalable Uncertainty Management 16th International Conference, SUM 2024, Palermo, Italy, November 27–29, 2024, Proceedings /

This book constitutes the refereed proceedings of the 16th International Conference on Scalable Uncertainty Management, SUM 2024, held in Palermo, Italy, during November 27–29, 2024. The 28 full and 7 short papers presented in this volume were carefully reviewed and selected from 43 submissions. SUM...

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Dades bibliogràfiques
Autor corporatiu: SpringerLink (Online service)
Altres autors: Destercke, Sébastien (Editor), Martinez, Maria Vanina (Editor), Sanfilippo, Giuseppe (Editor)
Format: Electrònic eBook
Idioma:anglès
Publicat: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edició:1st ed. 2025.
Col·lecció:Lecture Notes in Artificial Intelligence, 15350
Matèries:
Accés en línia:https://doi.org/10.1007/978-3-031-76235-2
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Taula de continguts:
  • Repair Based Semantics for Querying Inconsistent Data From Databases to Knowledge Bases and Back
  • Looking at conditionals within the possibilistic framework
  • From de Finetti’s coherence to new theories for reasoning under uncertainty
  • MIP Outer Belief Approximations of Lower Conditional Joint CDFs in Statistical Matching Problems
  • Integrating User Preferences into Gradual Bipolar Argumentation for Personalised Decision Support
  • Scaling Up Reasoning From Conditional Belief Bases
  • On Decisive Revision Operators and Totally Ordered Information
  • Judicial Support Tool Finding the k Most Likely Judicial Worlds
  • Flexible risk aware sequential decision making
  • Entropy and extropy for partial probability assessments on arbitrary families of events
  • Robust Discrete Bayesian Classifier under Covariate and Label Noise
  • Imprecise Dynamic Value at Risk Induced by a DS Bivariate Random Walk
  • Boolean weighting in possibilistic logic
  • Possibilistic provenance
  • Towards a logical framework for reasoning with stereotypes
  • SDF FuzzIA a Fuzzy Ontology based plug in for the intelligent analysis of geothematic data
  • On the Completeness and Complexity of Lifted Temporal Inference
  • Bel Coalitional Games
  • Lifting Partially Observable Stochastic Games
  • Inconsistency Measurement in LTLf Based on Minimal Inconsistent Sets and Minimal Correction Sets
  • Contribution of Subsets of Variables in Global Sensitivity Analysis with Dependent Variables
  • An Ontology Based Approach for Handling Inconsistency in Explainable and Prioritized Access Control Models
  • Estimating Causal Effects in Partially Directed Parametric CausalFactor Graphs
  • Discrete Minimax Binary Relevance Classifier for Imbalanced Multi label Classification
  • Entropic Regularization Schemes for Learning Fuzzy Similarity Measures Based on the d Choquet Integral
  • Elicitation for Decision Problems under severe uncertainties
  • Accelerate K Mode Algorithms Using The Triangle Inequality
  • A Reinforcement Learning Approach for Resolving Inconsistencies in Qualitative Constraint Networks
  • r ERBFN an Extension of the Evidential RBFN Accounting for the Dependence Between Positive and Negative Evidence
  • Frank’s triangular norms in Piaget’s logical proportions
  • Social ranking under incomplete knowledge elicitation of the lex-cel necessary winners
  • User’s Preference Modelling with Godel Integral
  • Extended Boltzmann Machine Generative Model
  • Compact Solution Representation in Qualitative Constraint based Reasoning
  • Credibility Limited Revision for Epistemic Spaces
  • Towards a Dialogue Game based Semantics for Extended Abstract Argumentation Frameworks based on Indecision Blocking
  • Transfer Learning Approach for High Imbalance and Multi Class Classification of Fluorescence Images
  • Stability of Extensions in Incomplete Argumentation Frameworks.