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Machine learning

Tác giả: Tom M Mitchell

Contents: 1. Introduction; 2. Concept learning and the general-to-specific ordering; 3. Decision tree learning; 4. Artificial neural networks; 5. Evaluating hypotheses; 6. Bayesian learning; 7. Computational learning theory; 8. Instance-based learning; 9. Genetic algorithms; 10. Learning sets of ...

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 ...