D. Lin. Morgan Kaufmann, San Francisco, CA, (1998)
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...
%0 Conference Proceedings
%1 citeulike:1238
%A Lin, Dekang
%B Proc. 15th International Conf. on Machine Learning
%D 1998
%I Morgan Kaufmann, San Francisco, CA
%K information-theory, similarity
%P 296--304
%T An information-theoretic definition of similarity
%U http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.55.1832
%X 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...
@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...}},
added-at = {2010-12-17T18:47:41.000+0100},
author = {Lin, Dekang},
biburl = {https://www.bibsonomy.org/bibtex/29862c80aca9ecb25c6650f868ccc35d5/mortimer_m8},
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},
interhash = {a10dea9ffd5eb0372137e838d45878e1},
intrahash = {9862c80aca9ecb25c6650f868ccc35d5},
keywords = {information-theory, similarity},
pages = {296--304},
posted-at = {2005-01-03 18:51:55},
priority = {3},
publisher = {Morgan Kaufmann, San Francisco, CA},
timestamp = {2010-12-20T11:11:25.000+0100},
title = {{An information-theoretic definition of similarity}},
url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.55.1832},
year = 1998
}