Del 15350 i serien Lecture Notes in Computer Science

Scalable Uncertainty Management

16th International Conference, SUM 2024, Palermo, Italy, November 27–29, 2024, Proceedings

Häftad, Engelska, 2024

AvSébastien Destercke,Maria Vanina Martinez,Giuseppe Sanfilippo

1 159 kr

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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.

Produktinformation

Utgivningsdatum2024-11-12
Mått155 x 235 x 28 mm
Vikt756 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor488
FörlagSpringer International Publishing AG
ISBN9783031762345

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Systemvetenskap och AI inom Data och IT
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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.