Genetic Programming Theory and Practice XIX

Häftad, Engelska, 2024

Av Leonardo Trujillo, Stephan M. Winkler, Sara Silva, Wolfgang Banzhaf

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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.

Produktinformation

Utgivningsdatum2024-03-13
Mått155 x 235 x 16 mm
Vikt423 g
FormatHäftad
SpråkEngelska
SerieGenetic and Evolutionary Computation
Antal sidor262
FörlagSpringer Verlag, Singapore
ISBN9789811984624

Tillhör följande kategorier

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 InferentialKnowledge.- 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.