Generative Graph Prototypes from Information Theory

In this paper we present a method for constructing a generative prototype for a set of graphs by adopting a minimum description length approach. The method is posed in terms of learning a generative supergraph model from which the new samples can be obtained by an appropriate sampling mechanism. We...

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Publié dans:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 37(2015), 10 vom: 06. Okt., Seite 2013-27
Auteur principal: Han, Lin (Auteur)
Autres auteurs: Wilson, Richard C, Hancock, Edwin R
Format: Article en ligne
Langue:English
Publié: 2015
Accès à la collection:IEEE transactions on pattern analysis and machine intelligence
Sujets:Journal Article