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Abstraction, reformulation, and approximation : 4th international symposium, SARA 2000, Horseshoe Bay, USA, July 26-29, 2000 : proceedings

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Abstraction, reformulation, and approximation : 4th international symposium, SARA 2000, Horseshoe Bay, USA, Ju

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Author: SARA 2000 (2000 : Lake LBJ, Tex.), Choueiry, Berthe Y., 1963-, Walsh, Toby

Added by: sketch

Added Date: 2015-12-30

Language: eng

Subjects: Computer science, Artificial intelligence

Publishers: New York : Springer

Collections: folkscanomy computer inbox, folkscanomy computer, folkscanomy, additional collections

ISBN Number: 3540678395

Pages Count: 300

PPI Count: 300

PDF Count: 1

Total Size: 162.98 MB

PDF Size: 4.99 MB

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Edition: [Elektronische Ressource]

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Abstraction, Reformulation, and Approximation: 4th International Symposium, SARA 2000 Horseshoe Bay, USA, July 26–29, 2000 Proceedings
Author: Berthe Y. Choueiry, Toby Walsh
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-67839-7
DOI: 10.1007/3-540-44914-0

Table of Contents:

  • Partial Completeness of Abstract Fixpoint Checking
  • An Overview of MAXQ Hierarchical Reinforcement Learning
  • Recent Progress in the Design and Analysis of Admissible Heuristic Functions
  • GIS Databases: From Multiscale to MultiRepresentation
  • An Abstraction Framework for Soft Constraints and Its Relationship with Constraint Propagation
  • Abstractions for Knowledge Organization of Relational Descriptions
  • Grid-Based Histogram Arithmetic for the Probabilistic Analysis of Functions
  • Approximating Data in Constraint Databases
  • Linearly Bounded Reformulations of Unary Databases
  • A CSP Abstraction Framework
  • Interactions of Abstractions in Programming
  • Reformulation and Approximation in Model Checking
  • The Lumberjack Algorithm for Learning Linked Decision Forests
  • Reformulating Propositional Satisfiability as Constraint Satisfaction
  • Improving the Efficiency of Reasoning Through Structure-Based Reformulation
  • Using Feature Hierarchies in Bayesian Network Learning
  • On Reformulating Planning as Dynamic Constraint Satisfaction
  • Experiments with Automatically Created Memory-Based Heuristics
  • Abstraction and Phase Transitions in Relational Learning
  • An Agent-Based Approach to Robust Switching Between Abstraction Levels for Fault Diagnosis

Includes bibliographical references and index

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