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Pattern recognition and machine learning

Tác giả: Christopher M. Bishop

Chapter 1: Introduction. Chapter 2: Probability distributions. Chapter 3: Linear model for regression. Chapter 4: Linear models for classification. Chapter 5: Neural networks. Chapter 6. Kernel methods. Chapter 7: Sparse Kernel machines. Chapter 8: Graphical models. Chapter 9: Mixture models and ...

Genetic algorithms in search, optimization, and machine learning

Tác giả: David E Goldberg

Presenting 8 chapters: 1. A gentle introduction to genetic algorithms; 2. Genetic algorithms revisited: mathematical foundations; 3. Computer implementation of a genetic algorithm; 4. Some applications of genetic algorithms; 5. Advanced operators and techniques in genetic search; 6. Introduction to ...