Sample Sizes for Threshold Networks with Equivalences
Shawe-Taylor, J. (1995) Sample Sizes for Threshold Networks with Equivalences. Information and Computation, 118, (1), 65-72.
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Description/Abstract
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 |
| Divisions: | Faculty of Physical Sciences and Engineering > Electronics and Computer Science |
| Item ID: | 259808 |
| Date Deposited: | 23 Aug 2004 |
| Last Modified: | 01 Mar 2012 11:03 |
| Contributors: | Shawe-Taylor, J. (Author) |
| Date: | April 1995 |
| Status: | Published |
| Publisher: | Academic Press |
| Further Information: | Google Scholar |
| ISI Citation Count: | 4 |
| URI: | http://eprints.soton.ac.uk/id/eprint/259808 |
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