Genetic Programming Theory and Practice XVI
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 classifi…
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Produktdetails
Weitere Autoren: Spector, Lee (Hrsg.) / Sheneman, Leigh (Hrsg.)
- ISBN: 978-3-030-04735-1
- EAN: 9783030047351
- Produktnummer: 29832537
- Verlag: Springer
- Sprache: Englisch
- Erscheinungsjahr: 2019
- Plattform: PDF
- Masse: 6'107 KB
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