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Genetic Programming Theory and Practice XVI

Overview of attention for book
Cover of 'Genetic Programming Theory and Practice XVI'

Table of Contents

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    Book Overview
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    Chapter 1 Exploring Genetic Programming Systems with MAP-Elites
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    Chapter 2 The Evolutionary Buffet Method
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    Chapter 3 Emergent Policy Discovery for Visual Reinforcement Learning Through Tangled Program Graphs: A Tutorial
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    Chapter 4 Strong Typing, Swarm Enhancement, and Deep Learning Feature Selection in the Pursuit of Symbolic Regression-Classification
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    Chapter 5 Cluster Analysis of a Symbolic Regression Search Space
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    Chapter 6 What Else Is in an Evolved Name? Exploring Evolvable Specificity with SignalGP
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    Chapter 7 Lexicase Selection Beyond Genetic Programming
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    Chapter 8 Evolving Developmental Programs That Build Neural Networks for Solving Multiple Problems
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    Chapter 9 The Elephant in the Room: Towards the Application of Genetic Programming to Automatic Programming
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    Chapter 10 Untapped Potential of Genetic Programming: Transfer Learning and Outlier Removal
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    Chapter 11 Program Search for Machine Learning Pipelines Leveraging Symbolic Planning and Reinforcement Learning
Attention for Chapter 9: The Elephant in the Room: Towards the Application of Genetic Programming to Automatic Programming
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Citations

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8 Mendeley
Summary Dimensions citations
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Chapter title
The Elephant in the Room: Towards the Application of Genetic Programming to Automatic Programming
Chapter number 9
Book title
Genetic Programming Theory and Practice XVI
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-04735-1_9
Book ISBNs
978-3-03-004734-4, 978-3-03-004735-1
Authors

Michael O’Neill, David Fagan, O’Neill, Michael, Fagan, David

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 25%
Student > Ph. D. Student 1 13%
Student > Master 1 13%
Unknown 4 50%
Readers by discipline Count As %
Computer Science 3 38%
Engineering 1 13%
Unknown 4 50%

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