Computational Learning Theory - Rilegato

Anthony, M. H. G.; Biggs, N.

Rilegato

ISBN 10: 0521416035 ISBN 13: 9780521416030

Casa editrice: Cambridge University Press, 1992

Riassunto

This an introduction to the theory of computational learning.

Su questo libro

Descrizione del libro

This is a self contained volume in which the authors concentrate on the 'probably approximately correct model'. 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.

Contenuti

1. Concepts, hypotheses, learning algorithms; 2. Boolean formulae and representations; 3. Probabilistic learning; 4. Consistent algorithms and learnability; 5. Efficient learning I; 6. Efficient learning II; 7. The VC dimension; 8. Learning and the VC dimension; 9. VC dimension and efficient learning; 10. Linear threshold networks.

Dettagli dell?edizione

• Editore: Cambridge University Press
• Data di pubblicazione: 1992
• ISBN 10: 0521416035
• ISBN 13: 9780521416030
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero di pagine: 171
• Contatto del produttore: non disponibile