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Meta-Learning in Computational Intelligence

Overview of attention for book
Cover of 'Meta-Learning in Computational Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Universal Meta-Learning Architecture and Algorithms
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    Chapter 2 Meta-Learning of Instance Selection for Data Summarization
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    Chapter 3 Choosing the Metric: A Simple Model Approach
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    Chapter 4 Meta-Learning Architectures: Collecting, Organizing and Exploiting Meta-Knowledge
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    Chapter 5 Computational Intelligence for Meta-Learning: A Promising Avenue of Research
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    Chapter 6 Self-organization of Supervised Models
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    Chapter 7 Selecting Machine Learning Algorithms Using the Ranking Meta-Learning Approach
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    Chapter 8 A Meta-Model Perspective and Attribute Grammar Approach to Facilitating the Development of Novel Neural Network Models
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    Chapter 9 Ontology-Based Meta-Mining of Knowledge Discovery Workflows
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    Chapter 10 Optimal Support Features for Meta-Learning
Attention for Chapter 8: A Meta-Model Perspective and Attribute Grammar Approach to Facilitating the Development of Novel Neural Network Models
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Readers on

mendeley
4 Mendeley
Summary
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Chapter title
A Meta-Model Perspective and Attribute Grammar Approach to Facilitating the Development of Novel Neural Network Models
Chapter number 8
Book title
Meta-Learning in Computational Intelligence
Published by
Springer, Berlin, Heidelberg, January 2011
DOI 10.1007/978-3-642-20980-2_8
Book ISBNs
978-3-64-220979-6, 978-3-64-220980-2
Authors

Talib S. Hussain, Hussain, Talib S.

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 25%
Unknown 3 75%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Researcher 1 25%
Student > Postgraduate 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Linguistics 1 25%

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