An information-theoretic definition of similarity Export

@proceedings{citeulike:1238, abstract = {Similarity is an important and widely used concept. Previous definitions of similarity are tied to a particular application or a form of knowledge representation. We present an informationtheoretic definition of similarity that is applicable 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. 1 Introduction Similarity is a fundamental and widely used concept. Many similarity measures have been...}, author = {Lin, Dekang}, booktitle = {Proc. 15th International Conf. on Machine Learning}, citeulike-article-id = {1238}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.55.1832}, keywords = {information-theory}, pages = {296--304}, posted-at = {2004-12-08 06:38:43}, publisher = {Morgan Kaufmann, San Francisco, CA}, title = {An information-theoretic definition of similarity}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.55.1832}, year = {1998} }

TY - CONF ID - citeulike:1238 L3 - citeulike-article-id:1238 N2 - Similarity is an important and widely used concept. Previous definitions of similarity are tied to a particular application or a form of knowledge representation. We present an informationtheoretic definition of similarity that is applicable 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. 1 Introduction Similarity is a fundamental and widely used concept. Many similarity measures have been... EP - 304 TI - An information-theoretic definition of similarity PB - Morgan Kaufmann, San Francisco, CA T2 - Proc. 15th International Conf. on Machine Learning SP - 296 KW - information-theory AU - Lin, Dekang PY - 1998/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.55.1832 ER -