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Symbolic and Quantitative Approaches to Reasoning with Uncertainty

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Cover of 'Symbolic and Quantitative Approaches to Reasoning with Uncertainty'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Analogical Inequalities
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    Chapter 2 Boolean Analogical Proportions - Axiomatics and Algorithmic Complexity Issues
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    Chapter 3 Evaluation of Arguments in Weighted Bipolar Graphs
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    Chapter 4 Debate-Based Learning Game for Constructing Mathematical Proofs
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    Chapter 5 Updating Probabilistic Epistemic States in Persuasion Dialogues
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    Chapter 6 From Structured to Abstract Argumentation: Assumption-Based Acceptance via AF Reasoning
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    Chapter 7 On Relating Abstract and Structured Probabilistic Argumentation: A Case Study
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    Chapter 8 Structure-Based Categorisation of Bayesian Network Parameters
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    Chapter 9 The Descriptive Complexity of Bayesian Network Specifications
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    Chapter 10 Exploiting Stability for Compact Representation of Independency Models
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    Chapter 11 Parameter Learning Algorithms for Continuous Model Improvement Using Operational Data
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    Chapter 12 Monotonicity in Bayesian Networks for Computerized Adaptive Testing
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    Chapter 13 Expert Opinion Extraction from a Biomedical Database
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    Chapter 14 Solving Trajectory Optimization Problems by Influence Diagrams
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    Chapter 15 Iterative Aggregation of Crowdsourced Tasks Within the Belief Function Theory
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    Chapter 16 A Clustering Approach for Collaborative Filtering Under the Belief Function Framework
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    Chapter 17 A Generic Framework to Include Belief Functions in Preference Handling for Multi-criteria Decision
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    Chapter 18 A Recourse Approach for the Capacitated Vehicle Routing Problem with Evidential Demands
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    Chapter 19 Evidential k-NN for Link Prediction
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    Chapter 20 Ensemble Enhanced Evidential k-NN Classifier Through Random Subspaces
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    Chapter 21 Comparison of Inference Relations Defined over Different Sets of Ranking Functions
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    Chapter 22 A Transformation System for Unique Minimal Normal Forms of Conditional Knowledge Bases
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    Chapter 23 On Boolean Algebras of Conditionals and Their Logical Counterpart
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    Chapter 24 A Semantics for Conditionals with Default Negation
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    Chapter 25 Incoherence Correction and Decision Making Based on Generalized Credal Sets
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    Chapter 26 Reliable Knowledge-Based Adaptive Tests by Credal Networks
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    Chapter 27 Algorithms for Multi-criteria Optimization in Possibilistic Decision Trees
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    Chapter 28 Efficient Policies for Stationary Possibilistic Markov Decision Processes
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    Chapter 29 An Angel-Daemon Approach to Assess the Uncertainty in the Power of a Collectivity to Act
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    Chapter 30 Decision Theory Meets Linear Optimization Beyond Computation
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    Chapter 31 Axiomatization of an Importance Index for Generalized Additive Independence Models
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    Chapter 32 Probability Measures in Gödel $$_\varDelta $$ Logic
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    Chapter 33 Fuzzy Weighted Attribute Combinations Based Similarity Measures
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    Chapter 34 Online Fuzzy Temporal Operators for Complex System Monitoring
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    Chapter 35 Complexity of Model Checking for Cardinality-Based Belief Revision Operators
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    Chapter 36 A Two-Tiered Propositional Framework for Handling Multisource Inconsistent Information
  38. Altmetric Badge
    Chapter 37 Reasoning in Description Logics with Typicalities and Probabilities of Exceptions
  39. Altmetric Badge
    Chapter 38 Measuring Uncertainty in Orthopairs
  40. Altmetric Badge
    Chapter 39 Possibilistic MDL: A New Possibilistic Likelihood Based Score Function for Imprecise Data
  41. Altmetric Badge
    Chapter 40 The Complexity of Inferences and Explanations in Probabilistic Logic Programming
  42. Altmetric Badge
    Chapter 41 Count Queries in Probabilistic Spatio-Temporal Knowledge Bases with Capacity Constraints
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    Chapter 42 RankPL: A Qualitative Probabilistic Programming Language
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    Chapter 43 Generalized Probabilistic Modus Ponens
  45. Altmetric Badge
    Chapter 44 A First-Order Logic for Reasoning About Higher-Order Upper and Lower Probabilities
Attention for Chapter 39: Possibilistic MDL: A New Possibilistic Likelihood Based Score Function for Imprecise Data
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Chapter title
Possibilistic MDL: A New Possibilistic Likelihood Based Score Function for Imprecise Data
Chapter number 39
Book title
Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Published in
Lecture notes in computer science, June 2017
DOI 10.1007/978-3-319-61581-3_39
Book ISBNs
978-3-31-961580-6, 978-3-31-961581-3
Authors

Maroua Haddad, Philippe Leray, Nahla Ben Amor

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This research output has an Altmetric Attention Score of 1. 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 11 July 2017.
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