Selecting examples for an optimal perceptron

A technique is introduced to analyze learning with a spherical perceptron which continually selects its own examples (the most efficient training algorithm yet devised). Our results compare well with an existing numerical simulation.

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Year of publication:	1992
Authors:	Watkin, Timothy L.H. ; Rau, Albrecht
Published in:	Physica A: Statistical Mechanics and its Applications. - Elsevier, ISSN 0378-4371. - Vol. 185.1992, 1, p. 444-448
Publisher:	Elsevier

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010871833