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» Efficient Discovery of Confounders in Large Data Sets
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KDD
2010
ACM
188views Data Mining» more  KDD 2010»
13 years 10 months ago
Inferring networks of diffusion and influence
Information diffusion and virus propagation are fundamental processes talking place in networks. While it is often possible to directly observe when nodes become infected, observi...
Manuel Gomez-Rodriguez, Jure Leskovec, Andreas Kra...
WSDM
2010
ACM
172views Data Mining» more  WSDM 2010»
14 years 6 months ago
Early Online Identification of Attention Gathering Items In Social Media
Activity in social media such as blogs, micro-blogs, social networks, etc is manifested via interaction that involves text, images, links and other information items. Naturally, s...
Michael Mathioudakis, Nick Koudas, Peter Marbach
ATAL
2003
Springer
14 years 2 months ago
Resource-aware exploration of the emergent dynamics of simulated systems
The emerging science of simulation enables us to explore the dynamics of large and complex systems even if a formal representation and analysis of the system is intractable and a ...
Sven Brueckner, H. Van Dyke Parunak
BMCBI
2010
142views more  BMCBI 2010»
13 years 9 months ago
pplacer: linear time maximum-likelihood and Bayesian phylogenetic placement of sequences onto a fixed reference tree
Background: Likelihood-based phylogenetic inference is generally considered to be the most reliable classification method for unknown sequences. However, traditional likelihood-ba...
Frederick A. Matsen III, Robin B. Kodner, E. Virgi...
MIR
2005
ACM
198views Multimedia» more  MIR 2005»
14 years 2 months ago
Semi-automatic video annotation based on active learning with multiple complementary predictors
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that the large gap between high-level semantics and low...
Yan Song, Xian-Sheng Hua, Li-Rong Dai, Meng Wang