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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 Causality, Responsibility, and Blame: A Structural-Model Approach
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    Chapter 2 Fuzzy Logic, Annotation Domains and Semantic Web Languages
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    Chapter 3 Logic Programming and Uncertainty
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    Chapter 4 Evaluating Probabilistic Inference Techniques: A Question of “When,” not “Which”
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    Chapter 5 Probabilistic Logic Networks in a Nutshell
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    Chapter 6 Dynamics of Beliefs
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    Chapter 7 Fuzzy Classifiers – Opportunities and Challenges –
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    Chapter 8 A Brief Overview of Research in Argumentation Systems
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    Chapter 9 Maximal Ideal Recursive Semantics for Defeasible Argumentation
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    Chapter 10 Argumentation Frameworks as Constraint Satisfaction Problems
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    Chapter 11 On the Equivalence of Logic-Based Argumentation Systems
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    Chapter 12 Bipolarity in Argumentation Graphs: Towards a Better Understanding
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    Chapter 13 Handling Enthymemes in Time-Limited Persuasion Dialogs
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    Chapter 14 Argumentation Frameworks with Necessities
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    Chapter 15 A Heuristics-Based Pruning Technique for Argumentation Trees
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    Chapter 16 On Warranted Inference in Argument Trees Based Framework
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    Chapter 17 Uncertainty Handling in Quantitative BDD-Based Fault-Tree Analysis by Interval Computation
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    Chapter 18 A Branching Time Logic with Two Types of Probability Operators
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    Chapter 19 A Partition-Based First-Order Probabilistic Logic to Represent Interactive Beliefs
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    Chapter 20 Patterns Discovery for Efficient Structured Probabilistic Inference
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    Chapter 21 Indirect Elicitation of NIN-AND Trees in Causal Model Acquisition
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    Chapter 22 Change in Argumentation Systems: Exploring the Interest of Removing an Argument
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    Chapter 23 Incorporating Domain Knowledge and User Expertise in Probabilistic Tuple Merging
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    Chapter 24 Qualitative Reasoning about Incomplete Categorization Rules Based on Interpolation and Extrapolation in Conceptual Spaces
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    Chapter 25 A Change Model for Credibility Partial Order
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    Chapter 26 Conflict-Aware Historical Data Fusion
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    Chapter 27 Extended Galois Derivation Operators for Information Retrieval Based on Fuzzy Formal Concept Lattice
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    Chapter 28 Processing Fuzzy Queries in a Peer Data Management System Using Distributed Fuzzy Summaries
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    Chapter 29 Embedding Forecast Operators in Databases
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    Chapter 30 Investigating Ontological Similarity Theoretically with Fuzzy Set Theory, Information Content, and Tversky Similarity and Empirically with the Gene Ontology
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    Chapter 31 Answering Threshold Queries in Probabilistic Datalog+/– Ontologies
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    Chapter 32 Coherent Top-k Ontology Alignment for OWL EL
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    Chapter 33 Generalized Possibilistic Logic
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    Chapter 34 Transformations around Quantitative Possibilistic Logic
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    Chapter 35 Imprecise Regression Based on Possibilistic Likelihood
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    Chapter 36 Possibilistic Network-Based Classifiers: On the Reject Option and Concept Drift Issues
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    Chapter 37 Weak and Strong Disjunction in Possibilistic ASP
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    Chapter 38 t-DeLP: A Temporal Extension of the Defeasible Logic Programming Argumentative Framework
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    Chapter 39 Learning to Act Optimally in Partially Observable Markov Decision Processes Using Hybrid Probabilistic Logic Programs
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    Chapter 40 ChaseT : A Tool for Checking Chase Termination
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    Chapter 41 Swapping-Based Partitioned Sampling for Better Complex Density Estimation: Application to Articulated Object Tracking
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    Chapter 42 A Fuzzy-Based Approach to the Value of Information in Complex Military Environments
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    Chapter 43 Scalable Uncertainty Management
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Title
Scalable Uncertainty Management
Published by
Springer Berlin Heidelberg, October 2011
DOI 10.1007/978-3-642-23963-2
ISBNs
978-3-64-223962-5, 978-3-64-223963-2
Editors

Benferhat, Salem, Grant, John, Benferhat, Salem, Grant, John