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pro vyhledávání: '"Kaufmann, Dinu"'
Autor:
Kaufmann, Dinu, Parbhoo, Sonali, Wieczorek, Aleksander, Keller, Sebastian, Adametz, David, Roth, Volker
This paper considers a Bayesian view for estimating a sub-network in a Markov random field. The sub-network corresponds to the Markov blanket of a set of query variables, where the set of potential neighbours here is big. We factorize the posterior s
Externí odkaz:
http://arxiv.org/abs/1510.01485
Autor:
Kaufmann, Dinu, Parbhoo, Sonali, Wieczorek, Aleksander, Keller, Sebastian, Adametz, David, Roth, Volker
Publikováno v:
JMLR: W&CP: AISTATS 2016
This paper considers a Bayesian view for estimating a sub-network in a Markov random field. The sub-network corresponds to the Markov blanket of a set of query variables, where the set of potential neighbours here is big. We factorize the posterior s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ad89852e1bbc5d5d22e833316188af8
http://jmlr.org/proceedings/papers/v51/
http://jmlr.org/proceedings/papers/v51/
Autor:
Kaufmann, Dinu
The aim of machine learning and statistics is to learn and predict from data. With the introduction of copulas, probabilistic models and algorithms can benefit from the separation of dependency and marginals. The additional flexibility allows to gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69ea52d542f71427a3f45ef0c7a6af8c
Akademický článek
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Publikováno v:
Pattern Recognition 37th German Conference, GCPR 2015, Aachen, Germany, October 7-10, 2015, Proceedings; 2015, p117-128, 12p