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Genetic Programming Theory and Practice XV

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

Table of Contents

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    Book Overview
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    Chapter 1 Exploiting Subprograms in Genetic Programming
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    Chapter 2 Schema Analysis in Tree-Based Genetic Programming
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    Chapter 3 Genetic Programming Symbolic Classification: A Study
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    Chapter 4 Problem Driven Machine Learning by Co-evolving Genetic Programming Trees and Rules in a Learning Classifier System
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    Chapter 5 Applying Ecological Principles to Genetic Programming
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    Chapter 6 Lexicase Selection with Weighted Shuffle
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    Chapter 7 Relaxations of Lexicase Parent Selection
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    Chapter 8 A System for Accessible Artificial Intelligence
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    Chapter 9 Genetic Programming Based on Error Decomposition: A Big Data Approach
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    Chapter 10 One-Class Classification of Low Volume DoS Attacks with Genetic Programming
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    Chapter 11 Evolution of Space-Partitioning Forest for Anomaly Detection
Attention for Chapter 9: Genetic Programming Based on Error Decomposition: A Big Data Approach
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Citations

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Chapter title
Genetic Programming Based on Error Decomposition: A Big Data Approach
Chapter number 9
Book title
Genetic Programming Theory and Practice XV
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-90512-9_9
Book ISBNs
978-3-31-990511-2, 978-3-31-990512-9
Authors

Amirhessam Tahmassebi, Amir H. Gandomi, Tahmassebi, Amirhessam, Gandomi, Amir H.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Student > Ph. D. Student 1 17%
Lecturer 1 17%
Student > Doctoral Student 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 3 50%
Engineering 2 33%
Unknown 1 17%

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