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» Network Inference from Co-Occurrences
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136
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ISMB
2004
15 years 5 months ago
Predicting gene regulation by sigma factors in Bacillus subtilis from genome-wide data
Motivation: Sigma factors regulate the expression of genes in Bacillus subtilis at the transcriptional level. First we assess the ability of currently available gene regulatory ne...
Michiel J. L. de Hoon, Yuko Makita, Seiya Imoto, K...
CP
2009
Springer
16 years 4 months ago
Failed Value Consistencies for Constraint Satisfaction
In constraint satisfaction, basic inferences rely on some properties of constraint networks, called consistencies, that allow the identification of inconsistent instantiations (als...
Christophe Lecoutre, Olivier Roussel
123
Voted
ISPDC
2008
IEEE
15 years 10 months ago
Algorithms for Network Topology Discovery using End-to-End Measurements
Identifying and inferring performances of a network topology is a well known problem. Achieving this by using only end-to-end measurements at the application level is a method kno...
Laurent Bobelin, Traian Muntean
205
Voted
PR
2011
14 years 6 months ago
Generalized darting Monte Carlo
One of the main shortcomings of Markov chain Monte Carlo samplers is their inability to mix between modes of the target distribution. In this paper we show that advance knowledge ...
Cristian Sminchisescu, Max Welling
138
Voted
ICASSP
2010
IEEE
15 years 3 months ago
On distance reconstruction for sensor network localization
Sensor localization typically exploits distance measurements to infer sensor positions with respect to known anchor nodes. Missing or unreliable measurements for specific nodes c...
Phillip A. Regalia, Jing Wang