Abstract
Similarity is an important and widely used con-
cept. Previous definitions of similarity are tied
to a particular application or a form of knowl-
edge representation. We present an information-
theoretic definition of similarity that is applica-
ble as long as there is a probabilistic model. We
demonstrate how our definition can be used to
measure the similarity in a number of different
domains.
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