Abstract
In this paper a learning system is presented that is able to learn both the syntax (from an over-generalized grammar) and semantic rules (containing threshold values and relations) of an ECG grammar. These rules are used to direct the classification of QRS complexes and to distinquish between QRS and non-QRS patterns. The system demonstrates how a theory revision method can be used to refine large Prolog programs. 1
This work was supported by the grants ESPRIT 20237 ILP2 and the project PHARE TDQM 9305-02/1022 (“ILP2/HUN”).
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© 1997 Springer-Verlag Berlin Heidelberg
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Kókai, G., Csirik, J., Gyimóthy, T. (1997). Learning the syntax and semantic rules of an ECG grammar. In: Lenzerini, M. (eds) AI*IA 97: Advances in Artificial Intelligence. AI*IA 1997. Lecture Notes in Computer Science, vol 1321. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63576-9_106
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DOI: https://doi.org/10.1007/3-540-63576-9_106
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