Genetic Programming Theory and Practice XIX [E-Book] / edited by Leonardo Trujillo, Stephan M. Winkler, Sara Silva, Wolfgang Banzhaf.
This book brings together some of the most impactful researchers in the field of Genetic Programming (GP), each one working on unique and interesting intersections of theoretical development and practical applications of this evolutionary-based machine learning paradigm. Topics of particular interes...
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Personal Name(s): | Banzhaf, Wolfgang, editor |
Silva, Sara, editor / Trujillo, Leonardo, editor / Winkler, Stephan M., editor | |
Edition: |
1st edition 2023. |
Imprint: |
Singapore :
Springer,
2023
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Physical Description: |
XIV, 262 pages 104 illustrations, 93 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9789811984600 |
DOI: |
10.1007/978-981-19-8460-0 |
Series Title: |
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Genetic and Evolutionary Computation
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Subject (LOC): |
- Chapter 1. Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data
- Chapter 2. Correlation versus RMSE Loss Functions in Symbolic Regression Tasks
- Chapter 3. GUI-Based, Efficient Genetic Programming and AI Planning For Unity3D
- Chapter 4. Genetic Programming for Interpretable and Explainable Machine Learning
- Chapter 5. Biological Strategies ParetoGP Enables Analysis of Wide and Ill-Conditioned Data from Nonlinear Systems
- Chapter 6. GP-Based Generative Adversarial Models
- Chapter 7. Modelling Hierarchical Architectures with Genetic Programming and Neuroscience Knowledge for Image Classification through Inferential Knowledge
- Chapter 8. Life as a Cyber-Bio-Physical System
- Chapter 9. STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison
- Chapter 10. Evolving Complexity is Hard
- Chapter 11. ESSAY: Computers Are Useless ... They Only Give Us Answers.