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Scalable Uncertainty Management : 16th International Conference, SUM 2024, Palermo, Italy, November 27–29, 2024, Proceedings / edited by Sébastien Destercke, Maria Vanina Martinez, Giuseppe Sanfilippo.

Springer Nature - Springer Computer Science (R0) eBooks 2025 English International Available online

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Format:
Book
Contributor:
Destercke, Sébastien, editor.
Martinez, Maria Vanina, editor.
Sanfilippo, Giuseppe, editor.
Series:
Lecture Notes in Artificial Intelligence, 2945-9141 ; 15350
Language:
English
Subjects (All):
Artificial intelligence.
Computer science--Mathematics.
Computer science.
Machine learning.
Computer networks.
Computer systems.
Data mining.
Artificial Intelligence.
Mathematics of Computing.
Machine Learning.
Computer Communication Networks.
Computer System Implementation.
Data Mining and Knowledge Discovery.
Local Subjects:
Artificial Intelligence.
Mathematics of Computing.
Machine Learning.
Computer Communication Networks.
Computer System Implementation.
Data Mining and Knowledge Discovery.
Physical Description:
1 online resource (500 pages)
Edition:
1st ed. 2025.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Summary:
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 2024 solicited three types of paper submissions: Long papers reporting on original research or providing surveys that synthesize current research trends, short papers describing promising work in progress, systems, or positions on controversial issues, and extended abstracts.
Contents:
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.
Notes:
Includes bibliographical references and index.
ISBN:
9783031762352
3031762355

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