Finite size effects in neural network algorithms

One approach to the study of learning in neural networks within the physics community has been to use statistical mechanics to calculate the expected error that a network will make on a typical novel example, termed the generalisation error. Such average case analyses have been mainly carried out wi...

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Bibliographic Details
Main Author: Barber, David
Published: University of Edinburgh 1996
Subjects:
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.641288