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Abstract: Recently, there has been renewed interest in the use of exemplar-based schemes for concept representation and learning. In this paper, we compare systems learning concepts represented in this form with those which learn concepts represented by decision rules, such as the ID3 and AQ11 rule induction systems. We aim to clarify the distinction between the two representational schemes, and compare how systems based on the different schemes address the problem of learning within finite resources.... (Update)
Context of citations to this paper: More
...in practical applications, than domains with strong, tractable theories. Other weaknesses of generalization based methods are given in [55, 51, 2, 12, 62]. Given: a set of exemplar based categories C = fc 1 ; c 2 ; c n g and a case (NewCase) to classify. REPEAT...
Cited by: More
Concept Learning and Heuristic Classification in.. - Porter, Bareiss, Holte (1990) (Correct)
Active bibliography (related documents): More All
1.0: PROTOS - A Rational Reconstruction - Clark (1987) (Correct)
0.9: Learning from Imperfect Data - Pavel Brazdil (1990) (Correct)
0.7: Machine Learning: Techniques and Recent Developments - Clark (1990) (Correct)
BibTeX entry: (Update)
P. Clark. A comparison of rule and exemplar-based learning systems. In Pavel Brazdil, editor, Proceedings of the International Workshop on Machine Learning, MetaReasoning, and Logic. University of Porto, Portugal, 1988. http://citeseer.ist.psu.edu/clark80comparison.html More
@misc{ clark88comparison,
author = "P. Clark",
title = "A comparison of rule and exemplar-based learning systems",
text = "P. Clark. A comparison of rule and exemplar-based learning systems. In
Pavel Brazdil, editor, Proceedings of the International Workshop on Machine
Learning, MetaReasoning, and Logic. University of Porto, Portugal, 1988.",
year = "1988",
url = "citeseer.ist.psu.edu/clark80comparison.html" }
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Documents on the same site (http://www.cs.utexas.edu/users/pclark/papers/): More
Generalised Backjumping - Clark, Holte (1992) (Correct)
Machine Learning: Techniques and Recent Developments - Clark (1990) (Correct)
Applications of Machine Learning: Notes from the Panel Members - Clark, al. (1991) (Correct)
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