Abstract
We present an induction algorithm, KATE, whose learning strategy is similar to the ID3 algorithm but which can handle examples described by several object, relations between objects, and use background domain knowledge to constrain the search space. The efficient numeric learning techniques used in ID3 have been combined with a rich symbolic knowledge representation language (frames) which allows using known induction techniques for a broader range of applications.
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© 1992 Springer-Verlag Berlin Heidelberg
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Manago, M., Conruyt, N. (1992). Using information technology to solve real world problems. In: Schmalhofer, F., Strube, G., Wetter, T. (eds) Contemporary Knowledge Engineering and Cognition. Lecture Notes in Computer Science, vol 622. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0045679
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DOI: https://doi.org/10.1007/BFb0045679
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