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Attribute-value learning versus inductive logic programming: The missing links

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Inductive Logic Programming (ILP 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1446))

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Abstract

Two contributions are sketched. A first contribution shows that a special case of relational learning can be transformed into attribute-value learning. However, it is much more tractable to stick to the relational representation than to apply the sketched transformation. This provides a sound theoretical justification for inductive logic programming. In a second contribution, we show how existing attribute-value learning techniques and systems can be upgraded towards inductive logic programming using the ‘Leuven’ methodology and illustrate it using the Claudien, Tilde, ICL, Warmr, TIC, MacCent and RRL systems.

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Authors and Affiliations

  1. Department of Computer Science, Katholieke Universiteit Leuven, Celestijnenlaan 200A, B-3001, Heverlee, Belgium

    Luc De Raedt

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  1. Luc De Raedt
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David Page

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© 1998 Springer-Verlag Berlin Heidelberg

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De Raedt, L. (1998). Attribute-value learning versus inductive logic programming: The missing links. In: Page, D. (eds) Inductive Logic Programming. ILP 1998. Lecture Notes in Computer Science, vol 1446. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0027304

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  • DOI: https://doi.org/10.1007/BFb0027304

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64738-6

  • Online ISBN: 978-3-540-69059-7

  • eBook Packages: Springer Book Archive

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