Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Community detection in graphs"'
Autor:
Miolane, Léo
Publikováno v:
Probability [math.PR]. Ecole normale supérieure-ENS PARIS; Inria Paris, 2019. English. ⟨NNT : ⟩
Probability [math.PR]. Ecole normale supérieure-ENS PARIS; Inria Paris, 2019. English
Statistics [math.ST]. Université Paris sciences et lettres, 2019. English. ⟨NNT : 2019PSLEE043⟩
Probability [math.PR]. Ecole normale supérieure-ENS PARIS; Inria Paris, 2019. English
Statistics [math.ST]. Université Paris sciences et lettres, 2019. English. ⟨NNT : 2019PSLEE043⟩
We study classical statistical problems such as community detection on graphs, Principal Component Analysis (PCA), sparse PCA, Gaussian mixture clustering, linear and generalized linear models, in a Bayesian framework. We compute the best estimation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7a34585b20b8f539643f4f7007efdd37
https://hal.science/tel-02446988
https://hal.science/tel-02446988
Publikováno v:
PLoS ONE
PLoS ONE, Public Library of Science, 2018, 13 (9), ⟨10.1371/journal.pone.0201879⟩
PLoS ONE, Public Library of Science, 2018, 13 (9), ⟨10.1371/journal.pone.0201879⟩
La version française est disponible en V1 de cette archive.; International audience; Background Digital spaces, and in particular social networking sites, are becoming increasingly present and influential in the functioning of our democracies. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bc530b234947313ca943f1b754fe718a
https://hal.archives-ouvertes.fr/hal-01575456v3/file/GaumontPanahiChavalariasCommunities_2018_Version_Francaise.pdf
https://hal.archives-ouvertes.fr/hal-01575456v3/file/GaumontPanahiChavalariasCommunities_2018_Version_Francaise.pdf
Publikováno v:
2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Jul 2017, Sydney, Australia. ⟨10.1145/3110025.3110053⟩
ASONAM
2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Jul 2017, Sydney, Australia. ⟨10.1145/3110025.3110053⟩
ASONAM
International audience; Community detection emerged as an important exploratory task in complex networks analysis across many scientific domains. Many methods have been proposed to solve this problem, each one with its own mechanism and sometimes wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52762989c6ec15fa01862b9811b28061
https://hal.archives-ouvertes.fr/hal-01577343/document
https://hal.archives-ouvertes.fr/hal-01577343/document
Publikováno v:
Innovative Methods in Media and Communication Research
Springer International Publishing. Innovative Methods in Media and Communication Research, pp.273-291, 2016, 978-3-319-40699-2 978-3-319-40700-5
Innovative Methods in Media and Communication Research pp. 273-291
Innovative Methods in Media and Communication Research ISBN: 9783319406992
Springer International Publishing. Innovative Methods in Media and Communication Research, pp.273-291, 2016, 978-3-319-40699-2 978-3-319-40700-5
Innovative Methods in Media and Communication Research pp. 273-291
Innovative Methods in Media and Communication Research ISBN: 9783319406992
International audience; Baya-Laffite and Cointet map the United Nations Framework Convention on Climate Change (UNFCCC) negotiations topic structure and evolution over 20 years using a digital corpus from the most renowned internal journal of the neg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a9c5bbb2aba7d207795e3dd200c2978
https://halshs.archives-ouvertes.fr/halshs-01783391
https://halshs.archives-ouvertes.fr/halshs-01783391
Autor:
Blazere, Melanie
Cette thèse s'inscrit dans le cadre de l'analyse statistique de données en grande dimension. Nous avons en effet aujourd'hui accès à un nombre toujours plus important d'information. L'enjeu majeur repose alors sur notre capacité à explorer de v
Externí odkaz:
http://www.theses.fr/2015ISAT0018/document
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