Abstract
In this paper an approach to the model-directed induction of inferential knowledge is discussed. In contrast to most existing programs that employ one single rule model, this approach is based on the heuristically-guided generation of several rule models. Furthermore, tentative ideas as how to achieve a fully operational system in the early stages of induction, are presented.
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© 1985 Springer-Verlag Berlin Heidelberg
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Emde, W. (1985). Maschinelles Lernen mit heuristisch generierten Modellen. In: Trost, H., Retti, J. (eds) Österreichische Artificial Intelligence-Tagung. Informatik-Fachberichte, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46552-9_11
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DOI: https://doi.org/10.1007/978-3-642-46552-9_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-15695-6
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