Genetic Programming Theory and Practice XIX
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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| 其他作者: | , , , |
| 格式: | 电子 电子书 |
| 语言: | 英语 |
| 出版: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
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| 版: | 1st ed. 2023. |
| 丛编: | Genetic and Evolutionary Computation,
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| 主题: | |
| 在线阅读: | https://doi.org/10.1007/978-981-19-8460-0 |
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书本目录:
- 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.