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

Overview of attention for book
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
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    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
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

1 news outlet
22 tweeters

Readers on

88 Mendeley
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On the algebraic structure of conditional events: 13th European conference, ECSQARU 2015, Compiègne, France, July 15-17, 2015.
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-20807-7
978-3-31-920806-0, 978-3-31-920807-7

Flaminio, Tommaso, Godo, Lluis, Hosni, Hykel


Destercke, Sébastien, Denoeux, Thierry

Twitter Demographics

The data shown below were collected from the profiles of 22 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
France 1 1%
Netherlands 1 1%
Colombia 1 1%
Italy 1 1%
Russia 1 1%
Spain 1 1%
Portugal 1 1%
Unknown 78 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 22%
Researcher 17 19%
Student > Master 15 17%
Student > Postgraduate 8 9%
Student > Bachelor 5 6%
Other 17 19%
Unknown 7 8%
Readers by discipline Count As %
Computer Science 30 34%
Engineering 10 11%
Social Sciences 7 8%
Business, Management and Accounting 7 8%
Mathematics 6 7%
Other 15 17%
Unknown 13 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 April 2020.
All research outputs
of 16,018,042 outputs
Outputs from Lecture notes in computer science
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Outputs of similar age
of 251,193 outputs
Outputs of similar age from Lecture notes in computer science
of 139 outputs
Altmetric has tracked 16,018,042 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,633 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 251,193 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.