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On the algebraic structure of conditional events: 13th European conference, ECSQARU 2015, Compiègne, France, July 15-17, 2015.

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Cover of 'On the algebraic structure of conditional events: 13th European conference, ECSQARU 2015, Compiègne, France, July 15-17, 2015.'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Minimizing Regret in Dynamic Decision Problems
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    Chapter 2 Extracting Decision Rules from Qualitative Data Using Sugeno Integral: A Case-Study
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    Chapter 3 Elicitation of a Utility from Uncertainty Equivalent Without Standard Gambles
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    Chapter 4 Possibilistic Conditional Preference Networks
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    Chapter 5 On Supported Inference and Extension Selection in Abstract Argumentation Frameworks
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    Chapter 6 Representing and Reasoning About Arguments Mined from Texts and Dialogues
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    Chapter 7 Dialogue Games for Argumentation Frameworks with Necessities
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    Chapter 8 Explaining Bayesian Networks Using Argumentation
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    Chapter 9 Transitive Reasoning with Imprecise Probabilities
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    Chapter 10 On the Algebraic Structure of Conditional Events
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    Chapter 11 In All, but Finitely Many, Possible Worlds: Model-Theoretic Investigations on ‘ Overwhelming Majority ’ Default Conditionals
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    Chapter 12 The Robustness of Periodic Orchestrations in Uncertain Evolving Environments
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    Chapter 13 Uncertainty in the Cloud: An Angel-Daemon Approach to Modelling Performance
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    Chapter 14 Game-Theoretic Resource Allocation with Real-Time Probabilistic Surveillance Information
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    Chapter 15 Belief Update Within Propositional Fragments
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    Chapter 16 Private Expansion and Revision in Multi-agent Settings
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    Chapter 17 Contraction in Propositional Logic
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    Chapter 18 Multi-classifiers of Small Treewidth
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    Chapter 19 Balanced Tuning of Multi-dimensional Bayesian Network Classifiers
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    Chapter 20 A New View of Conformity and Its Application to Classification
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    Chapter 21 Using Shapley Inconsistency Values for Distributed Information Systems with Uncertainty
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    Chapter 22 Consistency-Based Reliability Assessment
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    Chapter 23 Handling Revision Inconsistencies: Towards Better Explanations
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    Chapter 24 On Measuring Inconsistency Using Maximal Consistent Sets
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    Chapter 25 On the Analysis of Probability-Possibility Transformations: Changing Operations and Graphical Models
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    Chapter 26 Computing Concise Representations of Semi-graphoid Independency Models
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    Chapter 27 Learning Structure in Evidential Networks from Evidential DataBases
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    Chapter 28 Evaluating Product-Based Possibilistic Networks Learning Algorithms
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    Chapter 29 Every LWF and AMP Chain Graph Originates from a Set of Causal Models
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    Chapter 30 Factorization, Inference and Parameter Learning in Discrete AMP Chain Graphs
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    Chapter 31 A Differential Approach for Staged Trees
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    Chapter 32 CPD Tree Learning Using Contexts as Background Knowledge
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    Chapter 33 Relevance of Evidence in Bayesian Networks
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    Chapter 34 Hybrid Time Bayesian Networks
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    Chapter 35 Learning Bounded Tree-Width Bayesian Networks via Sampling
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    Chapter 36 Learning Conditional Distributions Using Mixtures of Truncated Basis Functions
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    Chapter 37 MPE Inference in Conditional Linear Gaussian Networks
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    Chapter 38 Symbolic and Quantitative Approaches to Reasoning with Uncertainty
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    Chapter 39 A Reliably Weighted Collaborative Filtering System
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    Chapter 40 A Comparison of Plausibility Conflict and of Degree of Conflict Based on Amount of Uncertainty of Belief Functions
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    Chapter 41 Weighted Maximum Likelihood for Parameters Learning Based on Noisy Labels in Discrete Hidden Markov Models
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    Chapter 42 Evidential Editing K -Nearest Neighbor Classifier
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    Chapter 43 Learning Contextual Discounting and Contextual Reinforcement from Labelled Data
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    Chapter 44 Symbolic Possibilistic Logic: Completeness and Inference Methods
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    Chapter 45 Probabilistic Common Knowledge Among Infinite Number of Agents
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    Chapter 46 Towards Lifted Inference Under Maximum Entropy for Probabilistic Relational FO-PCL Knowledge Bases
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    Chapter 47 Towards Gaussian Bayesian Network Fusion
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    Chapter 48 Early Recognition of Maneuvers in Highway Traffic
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    Chapter 49 Variable Elimination for Interval-Valued Influence Diagrams
Attention for Chapter 33: Relevance of Evidence in Bayesian Networks
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Citations

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Chapter title
Relevance of Evidence in Bayesian Networks
Chapter number 33
Book title
Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Published by
Springer, Cham, July 2015
DOI 10.1007/978-3-319-20807-7_33
Book ISBNs
978-3-31-920806-0, 978-3-31-920807-7
Authors

Michelle Meekes, Silja Renooij, Linda C. van der Gaag, Meekes, Michelle, Renooij, Silja, van der Gaag, Linda C.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Professor 1 20%
Student > Ph. D. Student 1 20%
Other 1 20%
Unknown 1 20%
Readers by discipline Count As %
Unspecified 1 20%
Computer Science 1 20%
Decision Sciences 1 20%
Unknown 2 40%