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Scalable Uncertainty Management

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Cover of 'Scalable Uncertainty Management'

Table of Contents

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    Book Overview
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    Chapter 1 A Crash Course on Generalized Possibilistic Logic
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    Chapter 2 Discrete Sugeno Integrals and Their Applications
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    Chapter 3 A Credal Extension of Independent Choice Logic
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    Chapter 4 Explaining the Most Probable Explanation
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    Chapter 5 Fuzzification of Ordinal Classes. The Case of the HL7 Severity Grading
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    Chapter 6 A Modular Inference System for Probabilistic Description Logics
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    Chapter 7 Modeling the Dynamics of Multiple Disease Occurrence by Latent States
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    Chapter 8 Integral Representations of a Coherent Upper Conditional Prevision by the Symmetric Choquet Integral and the Asymmetric Choquet Integral with Respect to Hausdorff Outer Measures
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    Chapter 9 Separable Qualitative Capacities
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    Chapter 10 An Approach Based on MCDA and Fuzzy Logic to Select Joint Actions
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    Chapter 11 Discovering Ordinal Attributes Through Gradual Patterns, Morphological Filters and Rank Discrimination Measures
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    Chapter 12 Distribution-Aware Sampling of Answer Sets
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    Chapter 13 Consequence-Based Axiom Pinpointing
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    Chapter 14 Probabilistic Semantics for Categorical Syllogisms of Figure II
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    Chapter 15 Measuring Disagreement Among Knowledge Bases
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    Chapter 16 On Enumerating Models for the Logic of Paradox Using Tableau
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    Chapter 17 On Instantiating Generalised Properties of Gradual Argumentation Frameworks
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    Chapter 18 Lower and Upper Probability Bounds for Some Conjunctions of Two Conditional Events
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    Chapter 19 Qualitative Probabilistic Relational Models
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    Chapter 20 Rule-Based Conditioning of Probabilistic Data
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    Chapter 21 Positional Scoring Rules with Uncertain Weights
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    Chapter 22 A New Measure of General Information on Pseudo Analysis
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    Chapter 23 A Formal Approach to Embedding First-Principles Planning in BDI Agent Systems
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    Chapter 24 Imprecise Sampling Models for Modelling Unobserved Heterogeneity? Basic Ideas of a Credal Likelihood Concept
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    Chapter 25 Representation of Multiple Agent Preferences
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    Chapter 26 Measuring and Computing Database Inconsistency via Repairs
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    Chapter 27 Scalable Bounding of Predictive Uncertainty in Regression Problems with SLAC
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    Chapter 28 Predicting the Possibilistic Score of OWL Axioms Through Support Vector Regression
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    Chapter 29 Inferring Quantitative Preferences: Beyond Logical Deduction
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    Chapter 30 Handling Uncertainty in Relational Databases with Possibility Theory - A Survey of Different Modelings
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    Chapter 31 An Argumentative Recommendation Approach Based on Contextual Aspects
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Title
Scalable Uncertainty Management
Published by
Springer International Publishing, January 2018
DOI 10.1007/978-3-030-00461-3
ISBNs
978-3-03-000460-6, 978-3-03-000461-3
Editors

Davide Ciucci, Gabriella Pasi, Barbara Vantaggi

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