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Abstraction, Reformulation and Approximation

Overview of attention for book
Cover of 'Abstraction, Reformulation and Approximation'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Verifying the Incorrectness of Programs and Automata
  3. Altmetric Badge
    Chapter 2 Generating Admissible Heuristics by Abstraction for Search in Stochastic Domains
  4. Altmetric Badge
    Chapter 3 Synthesizing Plans for Multiple Domains
  5. Altmetric Badge
    Chapter 4 Abstract Policy Evaluation for Reactive Agents
  6. Altmetric Badge
    Chapter 5 Abstraction, Reformulation and Approximation
  7. Altmetric Badge
    Chapter 6 Transforming and Refining Abstract Constraint Specifications
  8. Altmetric Badge
    Chapter 7 Learning Regular Expressions from Noisy Sequences
  9. Altmetric Badge
    Chapter 8 From Factorial and Hierarchical HMM to Bayesian Network: A Representation Change Algorithm
  10. Altmetric Badge
    Chapter 9 Hierarchical Heuristic Search Revisited
  11. Altmetric Badge
    Chapter 10 Multinomial Event Model Based Abstraction for Sequence and Text Classification
  12. Altmetric Badge
    Chapter 11 Petri Net Reachability Checking Is Polynomial with Optimal Abstraction Hierarchies
  13. Altmetric Badge
    Chapter 12 Detecting and Breaking Symmetries by Reasoning on Problem Specifications
  14. Altmetric Badge
    Chapter 13 Approximate Model-Based Diagnosis Using Preference-Based Compilation
  15. Altmetric Badge
    Chapter 14 Function Approximation via Tile Coding: Automating Parameter Choice
  16. Altmetric Badge
    Chapter 15 Creating Better Abstract Operators
  17. Altmetric Badge
    Chapter 16 Abstraction, Reformulation and Approximation
  18. Altmetric Badge
    Chapter 17 Compositional Derivation of Symmetries for Constraint Satisfaction
  19. Altmetric Badge
    Chapter 18 Solving the 24 Puzzle with Instance Dependent Pattern Databases
  20. Altmetric Badge
    Chapter 19 Combining Feature Selection and Feature Construction to Improve Concept Learning for High Dimensional Data
  21. Altmetric Badge
    Chapter 20 A Qualitative Spatio-temporal Abstraction of a Disaster Space
  22. Altmetric Badge
    Chapter 21 The Cruncher: Automatic Concept Formation Using Minimum Description Length
  23. Altmetric Badge
    Chapter 22 Experiments with Multiple Abstraction Heuristics in Symbolic Verification
  24. Altmetric Badge
    Chapter 23 Probabilistic Abstraction of Uncertain Temporal Data for Multiple Subjects
  25. Altmetric Badge
    Chapter 24 Learning Classifiers Using Hierarchically Structured Class Taxonomies.
  26. Altmetric Badge
    Chapter 25 Feature-Discovering Approximate Value Iteration Methods
  27. Altmetric Badge
    Chapter 26 Designing Views to Efficiently Answer Real SQL Queries
  28. Altmetric Badge
    Chapter 27 The Multi-depot Periodic Vehicle Routing Problem
  29. Altmetric Badge
    Chapter 28 Abstract Representation in Painting and Computing
  30. Altmetric Badge
    Chapter 29 Categorizing Gene Expression Correlations with Bioclinical Data: An Abstraction Based Approach
  31. Altmetric Badge
    Chapter 30 Learning Abstract Scheduling Models
  32. Altmetric Badge
    Chapter 31 Knowledge Acquisition on Manipulation of Flow and Water Quality Models
  33. Altmetric Badge
    Chapter 32 Abstraction and Multiple Abstraction in the Symbolic Modeling of the Environment of Mobile Robots
  34. Altmetric Badge
    Chapter 33 Sequential Decision Making Under Uncertainty
  35. Altmetric Badge
    Chapter 34 Automatic State Abstraction for Pathfinding in Real-Time Video Games
  36. Altmetric Badge
    Chapter 35 Model-Based Search
  37. Altmetric Badge
    Chapter 36 Learning Skills in Reinforcement Learning Using Relative Novelty
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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1 X user
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2 patents
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2 Wikipedia pages

Readers on

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11 Mendeley
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Title
Abstraction, Reformulation and Approximation
Published by
Lecture notes in computer science, January 2005
DOI 10.1007/11527862
Pubmed ID
ISBNs
978-3-54-027872-6, 978-3-54-031882-8
Authors

Kang DK, Zhang J, Silvescu A, Honavar V

Editors

Jean-Daniel Zucker, Lorenza Saitta

X Demographics

X Demographics

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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 9%
Unknown 10 91%
Readers by discipline Count As %
Mathematics 1 9%
Unknown 10 91%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 09 December 2021.
All research outputs
#4,144,328
of 22,660,862 outputs
Outputs from Lecture notes in computer science
#990
of 8,123 outputs
Outputs of similar age
#14,849
of 139,321 outputs
Outputs of similar age from Lecture notes in computer science
#20
of 132 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,123 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 139,321 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.