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Abstract: . We can use a metric to measure the di#erences between elements in a domain or subsets of that domain #i.e. concepts#. Which particular metric should be chosen, depends on the kind of di#erence wewant to measure. The well known Euclidean metric on # n and its generalizations are often used for this purpose, but such metrics are not always suitable for concepts where elements have some structure di#erent from real numbers. For example, in #Inductive# Logic Programming a concept is... (Update)
Context of citations to this paper: More
...between the examples. As we work with structured terms as examples, we must use a distance between terms such as the distances defined in [11], 7] 13] 14] In this paper we use the simple distance defined in [11] Definition 1 (distance d nc between terms) If t 1 and t 2...
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BibTeX entry: (Update)
Shan-Hwei Nienhuys-Cheng. Distance between herbrand interpretations: A measure for approximations to a target concept. In Proceedings of the 7th International Workshop on Inductive Logic Programming, Lecture Notes in Artificial Intelligence. Springer-Verlag, 1997. http://citeseer.ist.psu.edu/nienhuys-cheng97distance.html More
@inproceedings{ nienhuyscheng97distance,
author = "S-H. Nienhuys-Cheng",
title = "Distance Between Herbrand Interpretations: {A} Measure for Approximations to a Target Concept",
booktitle = "Proceedings of the 7th International Workshop on Inductive Logic Programming",
volume = "1297",
publisher = "Springer-Verlag",
editor = "S. D\v{z}eroski and N. Lavra\v{c}",
pages = "213--226",
year = "1997",
url = "citeseer.ist.psu.edu/nienhuys-cheng97distance.html" }
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