MACHINE LEARNING
MACHINE LEARNING
TOM M. MITCHELL
- SINGAPORE MC GRAW HILL
- pag. 414, i-xvii figures
ref. p.p. 388-390, index p.p.394-414
Chapter 1 Introduction p.1 Chapter 2 Concept Learning and the General-to-Specofic Ordwring p. 20 Chapter 3 Decision Tree Learning p. 52 Chapter 4 Artificial Neural Networks p. 81 Chapter 6Bayesian Learning p. 154 Chapter 6 Bayesian Learning p. 154 Chapter 7 Computational Learning Theory p. 201 Chapter 8 Instance-Based Learning p. 230 Chapter 9 Genetic Algorithms p. 249 Chapter 10 Learning Sets of Rules p. 274 Chapter 11 Analytical Learning p. 307 Chapter 12 Combining Inductive and Analyticl Learning p. 334 Chapter 13 Reinforcement Learning p.367
0070428077
Μηχανική εκμάθηση
ref. p.p. 388-390, index p.p.394-414
Chapter 1 Introduction p.1 Chapter 2 Concept Learning and the General-to-Specofic Ordwring p. 20 Chapter 3 Decision Tree Learning p. 52 Chapter 4 Artificial Neural Networks p. 81 Chapter 6Bayesian Learning p. 154 Chapter 6 Bayesian Learning p. 154 Chapter 7 Computational Learning Theory p. 201 Chapter 8 Instance-Based Learning p. 230 Chapter 9 Genetic Algorithms p. 249 Chapter 10 Learning Sets of Rules p. 274 Chapter 11 Analytical Learning p. 307 Chapter 12 Combining Inductive and Analyticl Learning p. 334 Chapter 13 Reinforcement Learning p.367
0070428077
Μηχανική εκμάθηση
