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» Algorithms for the Sample Mean of Graphs
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IMC
2006
ACM
15 years 5 months ago
On unbiased sampling for unstructured peer-to-peer networks
This paper addresses the difficult problem of selecting representative samples of peer properties (e.g., degree, link bandwidth, number of files shared) in unstructured peer-to-p...
Daniel Stutzbach, Reza Rejaie, Nick G. Duffield, S...
BMCBI
2006
165views more  BMCBI 2006»
14 years 12 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
SIGMETRICS
2008
ACM
116views Hardware» more  SIGMETRICS 2008»
14 years 11 months ago
Optimal sampling in state space models with applications to network monitoring
Advances in networking technology have enabled network engineers to use sampled data from routers to estimate network flow volumes and track them over time. However, low sampling ...
Harsh Singhal, George Michailidis
CORR
2007
Springer
84views Education» more  CORR 2007»
14 years 12 months ago
Undirected Graphs of Entanglement Two
Entanglement is a complexity measure of directed graphs that origins in fixed point theory. This measure has shown its use in designing efficient algorithms to verify logical prop...
Walid Belkhir, Luigi Santocanale
BMCBI
2006
113views more  BMCBI 2006»
14 years 12 months ago
GibbsST: a Gibbs sampling method for motif discovery with enhanced resistance to local optima
Background: Computational discovery of transcription factor binding sites (TFBS) is a challenging but important problem of bioinformatics. In this study, improvement of a Gibbs sa...
Kazuhito Shida