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Challenges for Computational Intelligence

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Cover of 'Challenges for Computational Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 What Is Computational Intelligence and Where Is It Going?
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    Chapter 2 New Millennium AI and the Convergence of History
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    Chapter 3 The Challenges of Building Computational Cognitive Architectures
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    Chapter 4 Programming a Parallel Computer: The Ersatz Brain Project
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    Chapter 5 The Human Brain as a Hierarchical Intelligent Control System
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    Chapter 6 Artificial Brain and OfficeMate TR based on Brain Information Processing Mechanism
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    Chapter 7 Natural Intelligence and Artificial Intelligence: Bridging the Gap between Neurons and Neuro-Imaging to Understand Intelligent Behaviour
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    Chapter 8 Computational Scene Analysis
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    Chapter 9 Brain-, Gene-, and Quantum Inspired Computational Intelligence: Challenges and Opportunities
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    Chapter 10 The Science of Pattern Recognition. Achievements and Perspectives
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    Chapter 11 Towards Comprehensive Foundations of Computational Intelligence
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    Chapter 12 Knowledge-Based Clustering in Computational Intelligence
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    Chapter 13 Generalization in Learning from Examples
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    Chapter 14 A Trend on Regularization and Model Selection in Statistical Learning: A Bayesian Ying Yang Learning Perspective
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    Chapter 15 Computational Intelligence in Mind Games
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    Chapter 16 Computer Go: A Grand Challenge to AI
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    Chapter 17 Noisy Chaotic Neural Networks for Combinatorial Optimization
Attention for Chapter 13: Generalization in Learning from Examples
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Chapter title
Generalization in Learning from Examples
Chapter number 13
Book title
Challenges for Computational Intelligence
Published by
Springer, Berlin, Heidelberg, January 2007
DOI 10.1007/978-3-540-71984-7_13
Book ISBNs
978-3-54-071983-0, 978-3-54-071984-7
Authors

Věra Kůrková, Kůrková, Věra

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 100%
Readers by discipline Count As %
Computer Science 1 50%
Earth and Planetary Sciences 1 50%