Genetic Programming Theory and Practice XIII

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: mul...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Riolo, Rick (Editor ), Worzel, W.P (Editor ), Kotanchek, Mark (Editor ), Kordon, Arthur (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Genetic and Evolutionary Computation,
Temas:
Artificial intelligence.
Computational intelligence.
Algorithms.
Operations research.
Management science.
Artificial Intelligence.
Computational Intelligence.
Operations Research, Management Science .
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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 It: An Exercise for Mindful Practice
  • nPool: Massively Distributed Simultaneous Evolution and Cross-Validation in EC-Star
  • Highly Accurate Symbolic Regression with Noisy Training Data
  • Using Genetic Programming for Data Science: Lessons Learned
  • The Evolution of Everything (EvE) and Genetic Programming
  • Lexicase selection for program synthesis: 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
  • Prime-Time: Symbolic Regression takes its place in the Real World.

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