Genetic Programming Theory and Practice XIII

by Rick Riolo (editor)

Evolving Simple Symbolic Regression Models by Multi-objective Genetic Programming.- Learning Heuristics for Mining RNA Sequence-Structure Motifs.- Kaizen Programming for Feature Construction for Classification.- GP as if You Meant An Exercise for Mindful Practice.- Massively Distributed Simultaneous Evolution and Cross-Validation in EC-Star.- Highly Accurate Symbolic Regression with Noisy Training Data.- Using Genetic Programming for Data Lessons Learned.- The Evolution of Everything (EvE) and Genetic Programming.- Lexicase selection for program a Diversity Analysis.- Using Graph Databases to Explore the Dynamics of Genetic Programming Runs.- Predicting Product Choice with Symbolic Regression and Classification.- Multiclass Classification Through Multidimensional Clustering.- Symbolic Regression takes its place in the Real World.

284 pages, Paperback

Published December 26, 2016