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157
Voted
ESANN
2007
15 years 4 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
129
Voted
BMCBI
2007
15 years 2 months ago
2007
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
238
Voted
TCSV
2011
14 years 9 months ago
2011
—We present in this paper an integrated solution to rapidly recognizing dynamic objects in surveillance videos by exploring various contextual information. This solution consists...
113
Voted
IMC
2005
ACM
15 years 8 months ago
2005
ACM
Anomaly detection is a first and important step needed to respond to unexpected problems and to assure high performance and security in IP networks. We introduce a framework and ...
108
Voted
IMC
2004
ACM
15 years 8 months ago
2004
ACM
The Internet is teeming with high variability phenomena, from measured IP flow sizes to aspects of inferred router-level connectivity, but there still exists considerable debate ...