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Genetic Programming Theory and Practice XIII

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Cover of 'Genetic Programming Theory and Practice XIII'

Table of Contents

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    Book Overview
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    Chapter 1 Evolving Simple Symbolic Regression Models by Multi-Objective Genetic Programming
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    Chapter 2 Learning Heuristics for Mining RNA Sequence-Structure Motifs
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    Chapter 3 Kaizen Programming for Feature Construction for Classification
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    Chapter 4 GP As If You Meant It: An Exercise for Mindful Practice
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    Chapter 5 nPool: Massively Distributed Simultaneous Evolution and Cross-Validation in EC-Star
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    Chapter 6 Highly Accurate Symbolic Regression with Noisy Training Data
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    Chapter 7 Using Genetic Programming for Data Science: Lessons Learned
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    Chapter 8 The Evolution of Everything (EvE) and Genetic Programming
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    Chapter 9 Lexicase Selection for Program Synthesis: A Diversity Analysis
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    Chapter 10 Behavioral Program Synthesis: Insights and Prospects
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    Chapter 11 Using Graph Databases to Explore the Dynamics of Genetic Programming Runs
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    Chapter 12 Predicting Product Choice with Symbolic Regression and Classification
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    Chapter 13 Multiclass Classification Through Multidimensional Clustering
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    Chapter 14 Prime-Time: Symbolic Regression Takes Its Place in the Real World
Attention for Chapter 14: Prime-Time: Symbolic Regression Takes Its Place in the Real World
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