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Abstract: The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decision is predicted not on the basis of the whole support set of all rules matching a test case, but the support set restricted to a neighbourhood of a test case. The size of the optimal neighbourhood is automatically induced during the learning phase. The empirical study shows the interesting fact that it is enough to... (Update)
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BibTeX entry: (Update)
Gora, G., Wojna, A.G.: RIONA: a New Classification System Combining Rule Induction and Instance-Based Learning. Fundamenta Informaticae, Vol. 51(4), 2002, pp. 369--390. http://citeseer.ist.psu.edu/gora02riona.html More
@misc{ gora-riona,
author = "Grzegorz G\'ora and Arkadiusz Wojna",
title = "{RIONA}: A New Classification System Combining Rule Induction and Instance-Based
Learning",
url = "citeseer.ist.psu.edu/gora02riona.html" }
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