Categorizing Numeric lnformation for Generalization*
نویسنده
چکیده
Learning programs that generalize from real-world examples will have to deal with many different kinds of data. Continuous numeric data can cause problems far algorithms that scorch for examples with identical property values. These problems can be surmounted by categorizing the numeric doto. However, this process has problems of its awn. In this paper, we look at the need for categorizing numeric data and several methods for doing so. We concentrate on the use of generalizofion-bosed memory, a memory organization where octuol examples ore stored along with generalizations, which leads to a generolizotion-bosed categorization algorithm. We also consider how to use a number heurlstlc, looking for gaps. These methods hove been implemented in the UNIMEM computer system. Examples ore presented of these algorithms categorizing doto about the states of the United States.
منابع مشابه
Classifying Numeric Information
Learning programs that try to generalize from real-world examples may have to deal with many different kinds of data. Continuous numeric data may cause problems for algorithms that search for identical aspects of examples. This problem can be .. . surmounted by categori=ing the nume-ric data. However, this process has problems of its own. In this paper we look at the need for categorizing numer...
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