Genetic Programming Theory and Practice XVI

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing, Programming
Cover of the book Genetic Programming Theory and Practice XVI by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783030047351
Publisher: Springer International Publishing Publication: January 23, 2019
Imprint: Springer Language: English
Author:
ISBN: 9783030047351
Publisher: Springer International Publishing
Publication: January 23, 2019
Imprint: Springer
Language: English

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: evolving developmental programs for neural networks solving multiple problems, tangled program, transfer learning and outlier detection using GP, program search for machine learning pipelines in reinforcement learning, automatic programming with GP, new variants of GP, like SignalGP, variants of lexicase selection, and symbolic regression and classification techniques. The volume includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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: evolving developmental programs for neural networks solving multiple problems, tangled program, transfer learning and outlier detection using GP, program search for machine learning pipelines in reinforcement learning, automatic programming with GP, new variants of GP, like SignalGP, variants of lexicase selection, and symbolic regression and classification techniques. The volume includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.

More books from Springer International Publishing

Cover of the book Elastic/Plastic Discs Under Plane Stress Conditions by
Cover of the book Intraoperative Ultrasound (IOUS) in Neurosurgery by
Cover of the book Advanced Semiconducting Materials and Devices by
Cover of the book Breeding Grasses and Protein Crops in the Era of Genomics by
Cover of the book Measuring Progress Towards Sustainability by
Cover of the book Advances in Personalized Nanotherapeutics by
Cover of the book Probing Galaxy Evolution by Unveiling the Structure of Massive Galaxies Across Cosmic Time and in Diverse Environments by
Cover of the book Cultures and Contexts of Jewish Education by
Cover of the book Learning Factories by
Cover of the book Sustainable Rail Transport by
Cover of the book Membrane Organization and Dynamics by
Cover of the book Balanced Phono-Amps by
Cover of the book Intestinal Tumorigenesis by
Cover of the book The Body in Professional Practice, Learning and Education by
Cover of the book The Role of Self-Esteem in Foreign Language Learning and Teaching by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy