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Artificial Intelligence: Methodology, Systems, and Applications

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Cover of 'Artificial Intelligence: Methodology, Systems, and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Multimodal Speech Synthesis: Improving Information Flow in Dialogue Systems Using 3D Talking Heads
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    Chapter 2 Efficient Relational Learning from Sparse Data
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    Chapter 3 Efficient Instance Retraction
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    Chapter 4 Learning Patterns in Multidimensional Space Using Interval Algebra
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    Chapter 5 A Machine Learning Approach to Automatic Production of Compiler Heuristics
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    Chapter 6 Using Failed Local Search for SAT as an Oracle for Tackling Harder A.I. Problems More Efficiently
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    Chapter 7 A Heuristic for Planning Based on Action Evaluation
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    Chapter 8 W hat : Web-Based Haskell Adaptive Tutor
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    Chapter 9 Decomposing and Distributing Configuration Problems
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    Chapter 10 Direct Adaptive Neural Control with Integral-Plus-State Action
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    Chapter 11 ILP Techniques for Free-Text Input Processing
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    Chapter 12 A Dempster-Shafer Approach to Physical Database Design
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    Chapter 13 Technical Documentation: An Integrated Architecture for Supporting the Author in Generation and Resource Editing
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    Chapter 14 Optimistic vs. Pessimistic Interpretation of Linguistic Negation
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    Chapter 15 Left Corner Parser for Tree Insertion Grammars
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    Chapter 16 Bulgarian Noun - Definite Article in DATR
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    Chapter 17 A Methodology to Solve Optimisation Problems with MAS Application to the Graph Colouring Problem
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    Chapter 18 OCOA: An Open, Modular, Ontology Based Autonomous Robotic Agent Architecture
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    Chapter 19 A Replanning Algorithm for a Reactive Agent Architecture
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    Chapter 20 A Broker Approach for Multi-agent Scheduling
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    Chapter 21 Recognition of Common Areas in a Web Page Using a Visualization Approach
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    Chapter 22 A Neural Approach to Abductive Multi-adjoint Reasoning
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    Chapter 23 Restricted Δ -Trees in Multiple-Valued Logics
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    Chapter 24 Knowledge Management in Expert System Creator
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    Chapter 25 Towards Semantic Goal-Directed Forward Reasoning in Resolution
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    Chapter 26 Do What We Do to Find What You Want
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    Chapter 27 Adapting a Robust Multi-genre NE System for Automatic Content Extraction
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    Chapter 28 The Semantic Web: A Killer App for AI?
Attention for Chapter 5: A Machine Learning Approach to Automatic Production of Compiler Heuristics
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Chapter title
A Machine Learning Approach to Automatic Production of Compiler Heuristics
Chapter number 5
Book title
Artificial Intelligence: Methodology, Systems, and Applications
Published by
Springer, Berlin, Heidelberg, September 2002
DOI 10.1007/3-540-46148-5_5
Book ISBNs
978-3-54-044127-4, 978-3-54-046148-7
Authors

Antoine Monsifrot, François Bodin, René Quiniou, Monsifrot, Antoine, Bodin, François, Quiniou, René

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Italy 1 3%
Unknown 38 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 33%
Student > Master 10 25%
Student > Bachelor 7 18%
Researcher 2 5%
Student > Postgraduate 2 5%
Other 4 10%
Unknown 2 5%
Readers by discipline Count As %
Computer Science 32 80%
Unspecified 1 3%
Mathematics 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Agricultural and Biological Sciences 1 3%
Other 1 3%
Unknown 3 8%