Computational Learning Theory Paperback / softback
by M. H. G. (London School of Economics and Political Science) Anthony, N. (London School of Economics and Political Science) Biggs
Part of the Cambridge Tracts in Theoretical Computer Science series
Paperback / softback
Description
Computational learning theory is a subject which has been advancing rapidly in the last few years.
The authors concentrate on the probably approximately correct model of learning, and gradually develop the ideas of efficiency considerations.
Finally, applications of the theory to artificial neural networks are considered.
Many exercises are included throughout, and the list of references is extensive.
This volume is relatively self contained as the necessary background material from logic, probability and complexity theory is included.
It will therefore form an introduction to the theory of computational learning, suitable for a broad spectrum of graduate students from theoretical computer science and mathematics.
Information
-
Out of stock
- Format:Paperback / softback
- Pages:172 pages, Worked examples or Exercises
- Publisher:Cambridge University Press
- Publication Date:27/02/1997
- Category:
- ISBN:9780521599221
Information
-
Out of stock
- Format:Paperback / softback
- Pages:172 pages, Worked examples or Exercises
- Publisher:Cambridge University Press
- Publication Date:27/02/1997
- Category:
- ISBN:9780521599221
