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- W261262011 abstract "This chapter describes rational approach. The label of rational approach is used to make it clear that a certain number of laws of generalization are adopted, some of which do not preserve logical equivalence between a formula and its generalization. These laws are used, and only afterwards are the consequences of their application analyzed. In the approach described as rational, the operation is well-known when used as a strategy; it is called converting the examples into their internal form, or alternatively looking for the most suitable representation. The examples to be generalized in the chapter are set out in the form of expressions in first-order predicate logic. A set of taxonomies of generality are supplied to the generalization algorithm by the user. These taxonomies are n-ary trees of predicates whose generality diminishes toward the leaves. In other words, these taxonomies are hierarchies in which the children inherit all the features of their parents." @default.
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- W261262011 date "1988-01-01" @default.
- W261262011 modified "2023-09-27" @default.
- W261262011 title "Learning by Similarity Detection" @default.
- W261262011 doi "https://doi.org/10.1016/b978-0-08-050930-3.50012-9" @default.
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