A framework for defining distances between first-order logic objects
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TL;DR
This paper develops a general framework for distances between distances between objects and reports a preliminary evaluation.
Abstract
© Springer-Verlag Berlin Heidelberg 1998. Several learning systems, such as systems based on clustering and instance based learning, use a measure of distance between objects. Good measures of distance exist when objects are described by a fixed set of attributes as in attribute value learners. More recent learning systems however, use a first order logic representation. These systems represent objects as models or clauses. This paper develops a general framework for distances between such objects and reports a preliminary evaluation.
