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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 The Mysterious World of Normal Numbers
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    Chapter 2 Probabilistic Query Answering in the Bayesian Description Logic $$\mathcal {BE{}L}$$
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    Chapter 3 The Complexity of Plate Probabilistic Models
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    Chapter 4 DL-Lite Bayesian Networks: A Tractable Probabilistic Graphical Model
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    Chapter 5 State Space Search with Stochastic Costs and Risk Aversion
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    Chapter 6 On the Impact of Junction-Tree Topology on Weighted Model Counting
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    Chapter 7 A System for Probabilistic Inductive Answer Set Programming
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    Chapter 8 Towards Large-Scale Probabilistic OBDA
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    Chapter 9 Reasoning over Linear Probabilistic Knowledge Bases with Priorities
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    Chapter 10 Evenness-Based Reasoning with Logical Proportions Applied to Classification
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    Chapter 11 Multivariate Cluster-Based Discretization for Bayesian Network Structure Learning
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    Chapter 12 Modeling and Forecasting Time Series of Compositional Data: A Generalized Dirichlet Power Steady Model
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    Chapter 13 Linguistic and Graphical Explanation of a Cluster-Based Data Structure
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    Chapter 14 Probability-Possibility Transformations: Application to Credal Networks
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    Chapter 15 Planning in Partially Observable Domains with Fuzzy Epistemic States and Probabilistic Dynamics
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    Chapter 16 Propagation of Belief Functions in Singly-Connected Hybrid Directed Evidential Networks
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    Chapter 17 Uncertain Logical Gates in Possibilistic Networks. An Application to Human Geography
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    Chapter 18 Undercutting in Argumentation Systems
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    Chapter 19 Formalizing Explanatory Dialogues
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    Chapter 20 Towards a Dual Process Cognitive Model for Argument Evaluation
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    Chapter 21 Change in Abstract Bipolar Argumentation Systems
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    Chapter 22 On Argumentation with Purely Defeasible Rules
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    Chapter 23 A Possibilistic Analysis of Inconsistency
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    Chapter 24 First-Order Under-Approximations of Consistent Query Answers
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    Chapter 25 Using Rules of Thumb for Repairing Inconsistent Answer Set Programs
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    Chapter 26 Fuzzy XPath for the Automatic Search of Fuzzy Formulae Models
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    Chapter 27 ERBlox : Combining Matching Dependencies with Machine Learning for Entity Resolution
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    Chapter 28 Matching Uncertain Identities Against Sparse Knowledge
Attention for Chapter 7: A System for Probabilistic Inductive Answer Set Programming
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Chapter title
A System for Probabilistic Inductive Answer Set Programming
Chapter number 7
Book title
Scalable Uncertainty Management
Published by
Springer International Publishing, September 2015
DOI 10.1007/978-3-319-23540-0_7
Book ISBNs
978-3-31-923539-4, 978-3-31-923540-0
Authors

Matthias Nickles, Alessandra Mileo, Nickles, Matthias, Mileo, Alessandra

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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 %
Student > Ph. D. Student 2 40%
Researcher 1 20%
Student > Doctoral Student 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 3 60%
Linguistics 1 20%
Unknown 1 20%