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Abstract: Internal models of the environment have an important role to play in adaptive systems in general and are of particular importance for the supervised learning paradigm. In this paper we demonstrate that certain classical problems associated with the notion of the "teacher" in supervised learning can be solved by judicious use of learned internal models as components of the adaptive system. In particular, we show how supervised learning algorithms can be utilized in cases in which an unknown... (Update)
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BibTeX entry: (Update)
Jordan, M. I. and Rumelhart, D. (1992). Forward models: Supervised learning with a distal teacher. Cognitice Science, 16:307--354. http://citeseer.ist.psu.edu/jordan92forward.html More
@article{ jordanforward,
author = "M. Jordan and D. Rumelhart",
title = "Forward models: Supervised learning with a distal teacher",
journal = "Cognitive Science",
volume = 16,
year = 1992,
pages = "307--354",
url = "citeseer.ist.psu.edu/jordan92forward.html" }
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