Sample Sizes for Threshold Networks with Equivalences

Shawe-Taylor, J. (1995) Sample Sizes for Threshold Networks with Equivalences Information and Computation, 118, (1), pp. 65-72.


[img] PDF SampleSizesForThresholdNetworksWithEquivalences.pdf - Other
Download (579kB)


This paper applies the theory of Probably Approximately Correct (PAC) learning to multiple output feedforward threshold networks in which the weights conform to certain equivalences. It is shown that the sample site for reliable learning can be bounded above by a formula similar to that required for single output networks with no equivalences. The best previously obtained bounds are improved for all cases.

Item Type: Article
ISSNs: 0890-5401 (print)
Organisations: Electronics & Computer Science
ePrint ID: 259808
Date :
Date Event
April 1995Published
Date Deposited: 23 Aug 2004
Last Modified: 17 Apr 2017 22:24
Further Information:Google Scholar

Actions (login required)

View Item View Item