Learning and Generalisation : With Applications to Neural Networks /

Learning and Generalization provides a formal mathematical theory for addressing intuitive questions such as: How does a machine learn a new concept on the basis of examples? How can a neural network, after sufficient training, correctly predict the outcome of a previously unseen input? How much tra...

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Bibliographic Details

Main Author:	Vidyasagar, M.
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	London : Springer London : Imprint : Springer, 2003.
Series:	Communications and control engineering.
Subjects:	Engineering. Computer Communication Networks. Group theory. System theory. Distribution (Probability theory) Engineering mathematics. Electronic books.
Online Access:	Connect to the full text of this electronic book