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» Importance Sampling for Continuous Time Bayesian Networks
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VTC
2007
IEEE
116views Communications» more  VTC 2007»
15 years 6 months ago
Fairness Control by Mobile Routers in On-Board Communication Networks
— Communication solutions for passengers on public transport vehicles, in the form of on-board networks connected to the Internet via a mobile router (MR) and a wireless link, are...
Adeel Baig, Lavy Libman, Mahbub Hassan
INFOCOM
2011
IEEE
14 years 3 months ago
Understanding robustness of mobile networks through temporal network measures
—The application of complex network theory to communication systems has led to several important results. Nonetheless, previous research has often neglected to take into account ...
Salvatore Scellato, Ilias Leontiadis, Cecilia Masc...
ICANN
2010
Springer
15 years 25 days ago
Assessing Statistical Reliability of LiNGAM via Multiscale Bootstrap
Structural equation models have been widely used to study causal relationships between continuous variables. Recently, a non-Gaussian method called LiNGAM was proposed to discover ...
Yusuke Komatsu, Shohei Shimizu, Hidetoshi Shimodai...
FOCS
2009
IEEE
15 years 6 months ago
Faster Generation of Random Spanning Trees
In this paper, we set forth a new algorithm for generating approximately uniformly random spanning trees in undirected graphs. We show how to sample from a distribution that is wi...
Jonathan A. Kelner, Aleksander Madry
ICDM
2006
IEEE
102views Data Mining» more  ICDM 2006»
15 years 5 months ago
Who Thinks Who Knows Who? Socio-cognitive Analysis of Email Networks
Interpersonal interaction plays an important role in organizational dynamics, and understanding these interaction networks is a key issue for any organization, since these can be ...
Nishith Pathak, Sandeep Mane, Jaideep Srivastava