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pro vyhledávání: '"Claeskens, Gerda"'
Autor:
Pircalabelu, Eugen, Claeskens, Gerda
Publikováno v:
Journal of Machine Learning Research, Vol. 21, no. 64, p. 1-32 (2020)
A new strategy for probabilistic graphical modeling is developed that draws parallels to community detection analysis. The method jointly estimates an undirected graph and homogenous communities of nodes. The structure of the communities is taken int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6518b15cfbd5b7c9047da94d79c87fcd
https://lirias.kuleuven.be/handle/123456789/652074
https://lirias.kuleuven.be/handle/123456789/652074
Autor:
Claeskens, Gerda1 GERDA.CLAESKENS@ECON.KULEUVEN.BE, Croux, Christophe1 CHRISTOPHE.CROUX@ECON.KULEUVEN.BE, Van Kerckhoven, Johan1 JOHAN.VANKERCKHOVEN@ECON.KULEUVEN.BE
Publikováno v:
Journal of Machine Learning Research. 3/1/2008, Vol. 9 Issue 3, p541-558. 18p. 5 Charts, 2 Graphs.