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Erschienen in:
2004 | OriginalPaper | Buchkapitel
Layered Learning for Concept Synthesis
verfasst von : Sinh Hoa Nguyen, Jan Bazan, Andrzej Skowron, Hung Son Nguyen
Erschienen in: Transactions on Rough Sets I
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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We present a hierarchical scheme for synthesis of concept approximations based on given data and domain knowledge. We also propose a solution, founded on rough set theory, to the problem of constructing the approximation of higher level concepts by composing the approximation of lower level concepts. We examine the effectiveness of the layered learning approach by comparing it with the standard learning approach. Experiments are carried out on artificial data sets generated by a road traffic simulator.