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» Algorithms for Large, Sparse Network Alignment Problems
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IJCNN
2006
IEEE
14 years 3 months ago
Sparse Bayesian Models: Bankruptcy-Predictors of Choice?
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
Bernardete Ribeiro, Armando Vieira, João Ca...
SIGMOD
2011
ACM
241views Database» more  SIGMOD 2011»
12 years 11 months ago
Neighborhood based fast graph search in large networks
Complex social and information network search becomes important with a variety of applications. In the core of these applications, lies a common and critical problem: Given a labe...
Arijit Khan, Nan Li, Xifeng Yan, Ziyu Guan, Supriy...
KDD
2012
ACM
220views Data Mining» more  KDD 2012»
11 years 11 months ago
ComSoc: adaptive transfer of user behaviors over composite social network
Accurate prediction of user behaviors is important for many social media applications, including social marketing, personalization and recommendation, etc. A major challenge lies ...
ErHeng Zhong, Wei Fan, Junwei Wang, Lei Xiao, Yong...
TSC
2008
209views more  TSC 2008»
13 years 9 months ago
Effective Web Service Composition in Diverse and Large-Scale Service Networks
Web services are considered to be a potential silver bullet for the envisioned Service Oriented Architecture, in which loosely coupled software components are published, located, a...
Seog-Chan Oh, Dongwon Lee, Soundar R. T. Kumara
ICASSP
2010
IEEE
13 years 9 months ago
Consensus in correlated random topologies: Weights for finite time horizon
We consider the weight design problem for the consensus algorithm under a finite time horizon. We assume that the underlying network is random where the links fail at each iterat...
Dusan Jakovetic, João Xavier, José M...