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Abstract: The paper addresses the question how learning class discrimination and learning characteristic class descriptions can be related in relational learning. We present the approach TRITOP/MATCHBOX combining the relational decision tree algorithm TRITOP with the connectionist approach MATCHBOX. TRITOP constructs eciently a relational decision tree for the fast discrimination of classes of relational descriptions, while MATCHBOX is used for constructing class prototypes. (Update)
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BibTeX entry: (Update)
@misc{ geibel-learning,
author = "Peter Geibel and Kristina Schädler and Fritz Wysotzki",
title = "Learning of Class Descriptions from Class Discriminations: A Hybrid Approach
for Relational Objects",
url = "citeseer.ist.psu.edu/geibel02learning.html" }
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