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Learning without a teacher | IEEE Journals & Magazine | IEEE Xplore

Learning without a teacher


Abstract:

This is a review paper discussing and comparing most of the approaches to learning without a teacher which have been suggested to date. The approaches discussed are divid...Show More

Abstract:

This is a review paper discussing and comparing most of the approaches to learning without a teacher which have been suggested to date. The approaches discussed are divided into six classes: guessing a sequence of hypotheses, modifications of this first approach, approximating probability densities by others more easily computed, estimating parameters of a known decision rule, theoretically exact methods which require approximations in implementation, and some miscellaneous approaches. At present, all these approaches are known to be feasible, but few useful methods of comparing them to see which are best have been developed.
Published in: IEEE Transactions on Information Theory ( Volume: 12, Issue: 2, April 1966)
Page(s): 223 - 230
Date of Publication: 06 January 2003

ISSN Information:


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