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Extraction And Generalization of Expert Advice

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Extraction And Generalization of Expert Advice
Paul Benjamin
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X Tip) (type "fli T, i '02 T22 ... 'a„ t. P) • • • (type "ai T„i "a, T„2 ... \ T„p) of negative objects of the class, i. E. , those that are not members of the class, derive a description of the class of objects. Typically, a class description is a predicate which depends upon the values of one or more attributes, and evaluates to "true" on all the positive instances, and "false" on all the negative instances.
In the above description of the generalization problem, the set of negative instances
... may be empty, as it is possible to attempt generalization without the use of negative instances, as in [E)eJong83], who used large -61 amounts of domain knowledge to formulate accurate generalizations. However, the difficulty of this approach was recognized by [Winston7S], who used negative examples to closely delimit the set of positive examples, thus preventing overgeneralization. The need for negative examples to prevent overgeneralization is also recognized and explained in [Laird84].

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