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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
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Scalable Uncertainty Management
Published by
Springer International Publishing, September 2015
DOI 10.1007/978-3-319-23540-0
978-3-31-923539-4, 978-3-31-923540-0

Beierle, Christoph, Dekhtyar, Alex

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Readers by discipline Count As %
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