Learning and Generalisation

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September 2002



How does a machine learn a new concept on the basis of examples? This second edition takes account of important new developments in the field. It also deals extensively with the theory of learning control systems, now comparably mature to learning of neural networks.


1. Introduction.- 2. Preliminaries.- 3. Problem Formulations.- 4. Vapnik-Chervonenkis, Pseudo- and Fat-Shattering Dimensions.- 5. Uniform Convergence of Empirical Means.- 6. Learning Under a Fixed Probability Measure.- 7. Distribution-Free Learning.- 8. Learning Under an Intermediate Family of Probabilities.- 9. Alternate Models of Learning.- 10. Applications to Neural Networks..- 11. Applications to Control Systems.- 12. Some Open Problems.
EAN: 9781852333737
ISBN: 1852333731
Untertitel: With Applications to Neural Networks. 'Communications and Control Engineering'. 2nd ed. 2002. Book. Sprache: Englisch.
Verlag: Springer
Erscheinungsdatum: September 2002
Seitenanzahl: 512 Seiten
Format: gebunden
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