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Genetic Programming Theory and Practice XV

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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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