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· 분류 : 외국도서 > 컴퓨터 > 인공지능(AI)
· ISBN : 9789819938162
· 쪽수 : 768쪽
· 출판일 : 2024-11-02
목차
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.















