Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Kadavankandy, Arun"'
Autor:
Kadavankandy, Arun
Dans cette thèse, nous étudions les graphes aléatoires en utilisant des outils de la théorie des matrices aléatoires et l’analyse probabilistique afin de résoudre des problèmes clefs dans le domaine des réseaux complexes et Big Data. Le pre
Externí odkaz:
http://www.theses.fr/2017AZUR4059/document
We analyse a mean-field model of Personalized PageRank on the Erdos-Renyi random graph containing a denser planted Erdos-Renyi subgraph. We investigate the regimes where the values of Personalized PageRank concentrate around the mean-field value. We
Externí odkaz:
http://arxiv.org/abs/1806.07640
Autor:
Avrachenkov, Konstantin, Kadavankandy, Arun, Prokhorenkova, Liudmila Ostroumova, Raigorodskii, Andrei
PageRank has numerous applications in information retrieval, reputation systems, machine learning, and graph partitioning. In this paper, we study PageRank in undirected random graphs with an expansion property. The Chung-Lu random graph is an exampl
Externí odkaz:
http://arxiv.org/abs/1703.08057
In this work, we tackle the problem of hidden community detection. We consider Belief Propagation (BP) applied to the problem of detecting a hidden Erd\H{o}s-R\'enyi (ER) graph embedded in a larger and sparser ER graph, in the presence of side-inform
Externí odkaz:
http://arxiv.org/abs/1611.04847
PageRank has numerous applications in information retrieval, reputation systems, machine learning, and graph partitioning.In this paper, we study PageRank in undirected random graphs with expansion property. The Chung-Lu random graph representsan exa
Externí odkaz:
http://arxiv.org/abs/1511.04925
Publikováno v:
ISIT 2017, IEEE International Symposium on Information Theory, June 25-30, 2017, Aachen, Germany
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1093::c046f5bb6daf983a7a3cc6a8a2c6b7d2
http://www.eurecom.fr/publication/5129
http://www.eurecom.fr/publication/5129
Publikováno v:
Research Report RR-8974, February 2017
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1093::d5aa4398beb9a687524258136563b9e2
http://www.eurecom.fr/publication/5157
http://www.eurecom.fr/publication/5157
Publikováno v:
CDC 2016, 55th IEEE Conference on Decision and Control, December 12-14, 2016, Las Vegas, USA
Research Report RR-16-315, March 16, 2016
Research Report RR-16-315, March 16, 2016
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0ebe8e6408ae21cd42c745b70d37ab3b
http://www.eurecom.fr/publication/5064
http://www.eurecom.fr/publication/5064
Publikováno v:
Research Report, October 2016
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1093::2f708c5935146dfe7197048485a28863
http://www.eurecom.fr/publication/5051
http://www.eurecom.fr/publication/5051
Publikováno v:
[Research Report] RR-8974, Inria Sophia Antipolis. 2017, pp.37
In this work, we tackle the problem of hidden community detection. We consider Belief Propagation (BP) applied to the problem of detecting a hidden Erd\H{o}s-R\'enyi (ER) graph embedded in a larger and sparser ER graph, in the presence of side-inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0993b31350cd00f2ba7f66266d1aa159
https://hal.inria.fr/hal-01394889v4/document
https://hal.inria.fr/hal-01394889v4/document