Handbook of Evolutionary Machine Learning

Handbook of Evolutionary Machine Learning

Zhang, Mengjie; Machado, Penousal; Banzhaf, Wolfgang

Springer Verlag, Singapore

11/2024

768

Mole

9789819938162

15 a 20 dias

Descrição não disponível.
Part 1. Overview chapters.- Chapter 1. EML Fundamentals.- Chapter 2. EML in Supervised Learning.- Chapter 3. EML in Unsupervised Learning.- Chapter 4. EML in Reinforcement Learning.- Part 2. Evolutionary Computation as Machine Learning.- Chapter 5. Evolutionary Clustering.- Chapter 6. Evolutionary Classification and Regression.- Chapter 7. Evolutionary Ensemble Learning.- Chapter 8. Evolutionary Deep Learning.- Chapter 9. Evolutionary Generative Models.- Part 3. Evolutionary Computation for Machine Learning.- Chapter 10. Evolutionary Data Preparation.- Chapter 11. Evolutionary Feature Engineering and Selection.- Chapter 12. Evolutionary Model Parametrization.- Chapter 13. Evolutionary Model Design.- Chapter 14. Evolutionary Model Validation.- Part 4. Applications.- Chapter 15. EML in Medicine.- Chapter 16. EML in Robotics.- Chapter 17. EML in Finance.- Chapter 18. EML in Science.- Chapter 19. EML in Environmental Science.- Chapter 20. EML in the Arts.
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Machine Learning;Artificial Evolution;Data Analysis;Evolutionary Deep Learning;Evolutionary Feature Selection;Evolutionary Resampling;Evolutionary Clustering;Evolutionary Classification and Regression;Evolutionary Machine Learning