Mathukumalli Vidyasagar

Learning and Generalisation (eBook, PDF)

With Applications to Neural Networks

• Format: PDF

Produktbeschreibung

The author is extremely well known and respected in this field and he provides a very comprehensive text with a broad focus covering all aspects of learning theory and it's applications.

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Produktdetails

• Verlag: Springer London
• Seitenzahl: 488
• Erscheinungstermin: 14. März 2013
• Englisch
• ISBN-13: 9781447137481
• Artikelnr.: 44000040

Autorenporträt

Mathukumalli Vidyasagar, Secunderabad, India

Inhaltsangabe

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.