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Abstraction, Reformulation, and Approximation

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Cover of 'Abstraction, Reformulation, and Approximation'

Table of Contents

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    Book Overview
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    Chapter 1 Partial Completeness of Abstract Fixpoint Checking
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    Chapter 2 An Overview of MAXQ Hierarchical Reinforcement Learning
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    Chapter 3 Recent Progress in the Design and Analysis of Admissible Heuristic Functions
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    Chapter 4 GIS Databases: From Multiscale to MultiRepresentation
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    Chapter 5 An Abstraction Framework for Soft Constraints and Its Relationship with Constraint Propagation
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    Chapter 6 Abstractions for Knowledge Organization of Relational Descriptions
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    Chapter 7 Grid-Based Histogram Arithmetic for the Probabilistic Analysis of Functions
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    Chapter 8 Approximating Data in Constraint Databases
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    Chapter 9 Linearly Bounded Reformulations of Unary Databases
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    Chapter 10 A CSP Abstraction Framework
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    Chapter 11 Interactions of Abstractions in Programming
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    Chapter 12 Reformulation and Approximation in Model Checking
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    Chapter 13 The Lumberjack Algorithm for Learning Linked Decision Forests
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    Chapter 14 Reformulating Propositional Satisfiability as Constraint Satisfaction
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    Chapter 15 Improving the Efficiency of Reasoning Through Structure-Based Reformulation
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    Chapter 16 Using Feature Hierarchies in Bayesian Network Learning
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    Chapter 17 On Reformulating Planning as Dynamic Constraint Satisfaction
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    Chapter 18 Experiments with Automatically Created Memory-Based Heuristics
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    Chapter 19 Abstraction and Phase Transitions in Relational Learning
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    Chapter 20 An Agent-Based Approach to Robust Switching Between Abstraction Levels for Fault Diagnosis
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    Chapter 21 A Compositional Approach to Causality
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    Chapter 22 A Method for Finding Consistent Hypotheses Using Abstraction
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    Chapter 23 Program Synthesis and Transformation Techniques for Simulation, Optimization, and Constraint Satisfaction
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    Chapter 24 Using and Learning Abstraction Hierarchies for Planning
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    Chapter 25 Learning Probabilistic Relational Models
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    Chapter 26 Synergy between Compositional Modeling and Bayesian Networks
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    Chapter 27 A CSP Abstraction Framework
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    Chapter 28 Answering Queries with Database Restrictions
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    Chapter 29 Research Summary
Overall attention for this book and its chapters
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Title
Abstraction, Reformulation, and Approximation
Published by
Springer Science & Business Media, July 2000
DOI 10.1007/3-540-44914-0
ISBNs
978-3-54-067839-7, 978-3-54-044914-0
Editors

Choueiry, Berthe Y., Walsh, Toby

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 %
United States 3 60%
Belgium 1 20%
Unknown 1 20%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 80%
Researcher 3 60%
Student > Master 3 60%
Professor 2 40%
Student > Bachelor 2 40%
Other 0 0%
Readers by discipline Count As %
Computer Science 10 200%
Engineering 2 40%
Neuroscience 1 20%